[Tutorial] Solve 100 Problems of Math and R/Python for Statistical Learning 2/21 14:00-17:00(JST: UTC+9)
Room: RYB2

Chair: Koji Yamamoto (Yokohama City University, Japan)

• Solve 100 Problems of Math and R/Python for Statistical Learning
  Joe Suzuki (Osaka University, Japan)

  The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience.
  This three-hour tutorial approaches the heart of machine learning and data science by considering math problems and building R/Python source programs.
  Each item mathematically formulates and solves machine learning problems and builds the programs.
  
  Linear Regression, Classification, Resampling, Information Criteria, Sparse Estimation,
  Non-Linear Regression, Decision Trees, Support Vector Machines, Unsupervised Learning.
  For the details, visit
  https://bayesnet.org/books/?page_id=49
  https://bayesnet.org/books/?page_id=118
  https://bayesnet.org/books_jp/

Opening Ceremony2/22 10:45-11:15(JST: UTC+9)
Room: RYB2

[Keynote Talk 1] Scaling limit of Markov chain/process Monte Carlo methods2/22 11:15-12:00(JST: UTC+9)
Room: RYB2

Chair: Hidetoshi Murakami (Tokyo University of Science, Japan)

• Scaling limit of Markov chain/process Monte Carlo methods
  Kengo Kamatani (Institute of Statistical Mathematics, Japan)

  The scaling limit analysis for Markov chain Monte Carlo methods has been developed over the last decades. The analysis identifies the rate of convergence to the limiting process, typically the Langevin diffusion process. Moreover, this analysis provides useful criteria for parameter tuning in Monte Carlo methods, as the limiting process is usually much simpler than the Markov chain Monte Carlo process and thus easier to optimise with respect to the tuning parameter. After the seminal work of Roberts et al. in 1997, many researchers have generalised the assumption and extended the results to more advanced methods. In the first half of this talk, we will review some basic scaling limit results for Markov chain Monte Carlo methods.
  Recently, piecewise deterministic Markov processes have gained interest in the context of scalable Monte Carlo integration methods. Two examples of fundamental importance are the Bouncy Particle sampler and the Zig-Zag sampler. In this talk, we will determine the scaling limits for both algorithms. Finally, we discuss a criterion for the tuning parameter of the Bouncy Particle sampler.
  The latter part is a joint work with J. Bierkens (TU Delft) and G. O. Roberts (Warwick).

[Special IS] Recent Advances in Probability Models for Ranking Data2/22 13:30-15:10(JST: UTC+9)
Room: RY103

Organizer and Chair: Philip L.H. Yu (Education University of Hong Kong, Hong Kong)

• Effective signal reconstruction from multiple ranked lists via convex optimization
  Michael G. Schimek (Medical University of Graz, Austria), Luca Vitale (Università degli Studi di Salerno, Italy), Bastian Pfeifer (Medical University of Graz, Austria), Michele La Rocca (Università degli Studi di Salerno, Italy)
• Efficient estimation of finite mixtures of Mallows models with the Spearman distance
  Marta Crispino (Bank of Italy, Italy), Cristina Mollica (Sapienza University of Rome, Italy), Valerio Astuti (Bank of Italy, Italy), Luca Tardella (Sapienza University of Rome, Italy)
• Ranking completion problem
  Zhuang Yipeng (Education University of Hong Kong, Hong Kong)
• Modeling ranking data and social network
  Jiaqi Gu (University of Hong Kong, Hong Kong), Philip Yu (Education University of Hong Kong, Hong Kong)

[IS17] Innovation Methodology Development of Causal Mediation Analysis for Biomedical Data2/22 13:30-15:10(JST: UTC+9)
Room: RY102

Organizer and Chair: Sheng-Hsuan Lin (National Yang-Ming Chiao-Tung University, Taiwan)

• Nonparametric path-specific effects on a survival outcome through time-to-event mediators
  Yen-Tsung Huang, Ju-Sheng Hung (Academia Sinica, Taiwan)
• Unified semicompeting risks analysis of hepatitis natural history through mediation modeling
  Jih-Chang Yu, Yen-Tsung Huang (Academia Sinica, Taiwan)
• Causal mediation analysis for panel data - mechanism investigation for COVID-19 pandemic induced depression
  Pei-Hsuan Hsia, Sheng-Hsuan Lin (National Yang Ming Chiao Tung University, Taiwan)
• Robust inference on effects attributable to mediators: A controlled-direct-effect-based approach for causal effect decomposition with multiple mediators
  An-Shun Tai (National Yang Ming Chiao Tung University, Taiwan)

[PS1] e-Poster Core Session (Part 1)2/22 13:30-15:10(JST: UTC+9)
Room: Online

Chair: Yoshikazu Terada (Osaka University, Japan), Michio Yamamoto (Okayama University, Japan)

• [PS1-01] Quantum computation, quantum algorithms and implications on data science
  Jeremy Garcia, Nathan Kim, David Han (University of Texas at San Antonio, USA)
• [PS1-02] Statistical perspectives in teaching application-oriented deep learning
  Nathan Kim, David Han (University of Texas at San Antonio, USA)
• [PS1-03] The optimal condition-based maintenance policy under the gamma degradation process
  David Han (University of Texas at San Antonio, USA)
• [PS1-04] A covariate selection method for propensity score model based on interquantile estimation of outcome
  Takehiro Shoji, Jun Tsuchida, Hiroshi Yadohisa (Doshisha University, Japan)
• [PS1-05] Bayesian tail risk forecasting of the realized volatility CAViaR models
  Tiffany H. Y. Hsu, Cathy W. S. Chen (Feng Chia University, Taiwan)
• [PS1-06] Quantile three-factor model with heteroskedasticity and skew Student t errors
  Kai Y.K. Wang, Cathy W. S. Chen (Feng Chia University, Taiwan)
• [PS1-07] Evaluation of statistical methods for recurrent time-to-event data
  Naoki Uemura (Yokohama City University, Japan), Hideto Yasuda (Jichi Medical University, Japan), Takayuki Abe (Yokohama City University, Japan)
• [PS1-08] Estimation of treatment effects for multivariate longitudinal data
  Shintaro Yuki, Hiroshi Yadohisa (Doshisha University, Japan)
• [PS1-09] A cluster Kriging method considering additional information
  Toshiki Sakai, Jun Tsuchida, Hiroshi Yadihisa (Doshisha University, Japan)
• [PS1-10] Rapid design of metamaterials via multi-target Bayesian optimization
  Yang Yang (Tsinghua University, China), Chunlin Ji (Kuang-Chi Institute of Advanced Technology, China), Ke Deng (Tsinghua University, China)
• [PS1-11] Online quantile linear discriminant analysis
  Soshi Kawarai, Hiroshi Yadohisa (Doshisha University, Japan)

[IS01] FinTech2/22 15:40-17:20(JST: UTC+9)
Room: RY103

Organizer and Chair: Ying Chen (National University of Singapore, Singapore)

• Bayesian inference of temporal trends in daily financial news
  Mike So (Hong Kong University of Science and Technology, Hong Kong)
• Optimal execution with hidden orders under self-exciting dynamics
  Ying Chen (National University of Singapore, Singapore), Zexin Wang (Imperial College London, United Kingdom), Ge Zhang, Chao Zhou (National University of Singapore, Singapore)
• Shapley-Lorenz trustworthy AI
  Paolo Giudici, Emanuela Raffinetti (University of Pavia, Italy)
• Non fungible tokens and VizTech
  Wolfgang Karl Härdle (Humboldt-Universität zu Berlin, Germany)

[IS12] Advances in Biomedical Data Analysis2/22 15:40-17:20(JST: UTC+9)
Room: RY102

Organizers: Michio Yamamoto (Okayama University, Japan), Yoshikazu Terada (Osaka University, Japan)
Chair: Yoshikazu Terada (Osaka University, Japan)

• One-step approximation of covariate balancing propensity score using generalized linear models
  Tomohiro Shinozaki (Tokyo University of Science, Japan)
• Direct and indirect effect with multiple longitudinal mediators
  Masataka Taguri (Yokohama City University, Japan), Yasuyuki Okuda (Daiichi Sankyo Co., Ltd., Japan)
• Odds-based predictive improvement index for binary regression models
  Kenichi Hayashi (Keio University, Japan), Shinto Eguchi (Institution of Statistical Mathematics, Japan)
• Estimation of the causal effects of stochastic interventions based on sufficient dimension reduction
  Michio Yamamoto (Okayama University / RIKEN AIP, Japan)

[IS11] Efficient Computation on the Distribution Theory2/22 15:40-17:20(JST: UTC+9)
Room: RY101

Organizers: Hiroki Hashiguchi, Hidetoshi Murakami (Tokyo University of Science, Japan)
Chair: Hiroki Hashiguchi (Tokyo University of Science, Japan)

• Approximation to probability density functions in sampling distributions based on Fourier cosine series
  Shigekazu Nakagawa (Okayama University of Science, Japan), Hiroki Hashiguchi (Tokyo University of Science, Japan), Yoko Ono (Yokohama City University, Japan)
• On the distribution of the sum of gamma mixture random variables
  Masato Kitani (Tokyo University of Science, Japan), Hidetoshi Murakami, Hiroki Hashiguchi (Tokyo University of Science, Japan)
• Algorithm for product of zonal polynomials and its application in statistics
  Koki Shimizu, Hiroki Hashiguchi (Tokyo University of Science, Japan)
• The moment generating function of two-sample linear rank tests in the presence of ties
  Hikaru Yamaguchi (Tokyo University of Science, Japan), Hidetoshi Murakami (Tokyo University of Science, Japan)
• Acceleration of bootstrap computation for incomplete data
  Masahiro Kuroda (Okayama University of Science, Japan)

[CS01] Missing Values / EM Algorithm2/22 15:40-17:20(JST: UTC+9)
Room: RY105

Chair: Takashi Seo (Tokyo University of Science, Japan)

• Multiple imputation with verifiable identification condition for nonignorable missing data
  Kenji Beppu, Kosuke Morikawa (Osaka University, Japan), Jongho Im (Yonsei University, South Korea)
• Tempered expectation-maximization algorithm for discrete latent variable models
  Luca Brusa (University of Milano-Bicocca, Italy), Francesco Bartolucci (University of Perugia, Italy), Fulvia Pennoni (University of Milano-Bicocca, Italy)
• Estimating finite mixtures of disc distribution and its applications to image recognition
  Shunsuke Maki (Nanzan Univerisity, Japan), Takayuki Shiohama (Nanzan University, Japan)
• Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
  Fulvia Pennoni (University of Milano-Bicocca, Italy), Francesco Bartolucci, Silvia Pandofi (University of Perugia, Italy)

[CS02] Multivariate Analysis2/22 15:40-17:20(JST: UTC+9)
Room: RY106

Chair: Masahiro Mizuta (Hokkaido University, Japan)

• A technical note on model ontology via multidimensional scaling
  Keishi Nomura, Kensuke Okada (University of Tokyo, Japan)
• Spherical random projection
  Seungwoo Kang, Hee-Seok Oh (Seoul National University, South Korea)
• Soft clustering of multidimensional time series
  Ángel López-Oriona, José. A. Vilar, Pierpaolo D'Urso (Universidade da Coruña, Spain)
• Application of cross-data matrix methodology to embedded vector of deep-learning models with estimation of spiked model parameter
  Yuuki Tachioka (Denso IT Laboratory, Japan)
• A method for extracting nonlinear structure based on nonlinear measures of dependence
  Shouma Ishimoto, Hiroyuki Minami, Masahiro Mizuta (Hokkaido University, Japan)

[Keynote Talk 2] Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems2/23 09:45-10:30(JST: UTC+9)
Room: RYB2

Chair: Wataru Sakamoto (Okayama University, Japan)

• Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems
  Ryan Tibshirani (Carnegie Mellon University, USA)

  This talk is about a class of univariate piecewise polynomial functions known as discrete splines, which share properties analogous to the better-known class of spline functions, but where continuity in derivatives is replaced by (a suitable notion of) continuity in divided differences. As it happens, discrete splines bear connections to a wide array of developments in applied mathematics and statistics, from divided differences and Newton interpolation (dating back to over 300 years ago) to trend filtering (from the last 15 years). We survey these connections, and contribute some new perspectives and new results along the way.
  Find the paper at: https://www.stat.cmu.edu/~ryantibs/papers/dspline.pdf

[IS14] Advances in Bayesian Statistical Methods2/23 11:00-12:40(JST: UTC+9)
Room: RY103

Organizer and Chair: Mike K.P. So (Hong University of Science and Technology, Hong Kong)

• Linkage vector autoregressive model
  Manabu Asai (Soka University, Japan), Mike K.P. So (Hong Long University of Science and Technology, Hong Kong)
• Dynamic ordering learning in multivariate forecasting
  Bruno P. C. Levy (INSPER Institute of Education and Research, Brazil), Hedibert F. Lopes (Arizona State University, USA)
• Dynamic factor, leverage and realized covariances in multivariate stochastic volatility
  Yuta Yamauchi (Nagoya University, Japan), Yasuhiro Omori (University of Tokyo, Japan)

[IS04] Recent Advances in Big Data Learning with Network Structures2/23 11:00-12:40(JST: UTC+9)
Room: RY102

Organizer and Chair: Zhao Ren (University of Pittsburgh, USA)

• Functional causal modeling via Karhunen-Loève expansions
  Kuang-Yao Lee (Temple University, USA), Lexin Li (University of California at Berkeley, USA), Bing Li (Pennsylvania State University, USA)
• Integrative inference for biological networks
  Yuping Zhang (University of Connecticut, USA)
• Clustering with latent semiparametric mixture models
  Wen Zhou (Colorado State University, USA)
• Simultaneous inference in multiple matrix-variate graphs for high-dimensional neural recordings
  Zhao Ren (University of Pittsburgh, USA)

[IS08] Statistical Analysis on the Web of Science2/23 11:00-12:40(JST: UTC+9)
Room: RY101

Organizer: Frederick Kin Hing Phoa (Academia Sinica, Taiwan)
Chair: Junji Nakano (Chuo University, Japan)

• A preferential attachment model of growing hypergraphs
  Hohyun Jung (Sungshin Women's University, South Korea), Sung-Ho Kim (KAIST, South Korea), Frederick Kin Hing Phoa (Academia Sinica, Taiwan)
• How to estimate potential research subjects by LASSO
  Hiroka Hamada, Keisuke Honda (Institute of Statistical Mathematics, Japan)
• International comparison of innovation strategies in artificial intelligence research: an analysis of intrapersonal diversity using bibliographic databases
  Yuji Mizukami (Nihon University, Japan), Junji Nakano (Chuo University, Japan)
• A mixture model of truncated zeta distributions with applications to scientific collaboration networks
  Hohyun Jung (Sungshin Women's University, South Korea), Frederick Kin Hing Phoa (Academia Sinica, Taiwan)

[CS03] Distribution Theory2/23 11:00-12:40(JST: UTC+9)
Room: RY105

Chair: Shigekazu Nakagawa (Okayama University of Science, Japan)

• Choice of the Dirichlet parameter for estimation of measures in two-way contingency tables
  Tomotaka Momozaki, Koji Cho, Tomoyuki Nakagawa, Sadao Tomizawa (Tokyo University of Science, Japan)
• Modified Anderson-Darling statistic and its power comparison
  Yuyan Ma, Masato Kitani, Hidetoshi Murakami (Tokyo University of Science, Japan)
• A test statistic based on normalized transformation for multivariate sample kurtosis
  Eri Kurita, Seo Takashi (Tokyo University of Science, Japan), Zofia Hanusz (University of Life Sciences in Lublin, Poland)
• Modified profile likelihood estimation in the Lomax distribution with censored data
  Maisoun Sewailem, Ayman Baklizi (Qatar University, Qatar)

[CS04] Lasso2/23 11:00-12:40(JST: UTC+9)
Room: RY106

Chair: Hidetoshi Matsui (Shiga University, Japan)

• Multivariate adaptive regression splines for estimating heterogeneous treatment effect
  Guanwenqing He, Ke Wan, Toshio Shimokawa (Wakayama Medical University, Japan)
• Rule ensemble method with group lasso for heterogeneous treatment effect estimation
  Ke Wan, Guanwenqing He, Toshio Shimokawa (Wakayama Medical University, Japan)
• Spacing test for fused lasso
  Rieko Tasaka, Joe Suzuki (Osaka University, Japan)
• Spatially varying coefficient modeling of numerical and categorical predictor variables in the generalized lasso
  Septian Rahardiantoro, Wataru Sakamoto (Okayama University, Japan)

[IS07] Bayesian Methods for Modern Statistical Analysis2/23 14:00-15:40(JST: UTC+9)
Room: RY103

Organizer and Chair: Cathy W.S. Chen (Feng Chia University, Taiwan)

• Bayesian skill-rating models for doubles players
  J.-R. Chang, J.-C. Lin, H.-F. Hua, R. C. Weng (National Chengchi University, Taiwan)
• High-frequency realized stochastic volatility model
  Toshiaki Watanabe (Hitotsubashi University, Japan), Jouchi Nakajima (Bank of Japan, Japan)
• Variational inference for cutting feedback with misspecified models
  Xuejun Yu, David Nott (National University of Singapore, Singapore), Michael Stanley Smith (University of Melbourne, Australia)
• Bayesian cumulative probit linear mixed models for longitudinal ordinary data
  Kuo-Jung Lee, Ray-Bing Chen (National Cheng Kung University, Taiwan), Keunbaik Lee (Sungkyunkwan University, South Korea)

[IS15] Recent Advances in Computational Statistics and Related Fields I2/23 14:00-15:40(JST: UTC+9)
Room: RY102

Organizers: Tso-Jung Yen (Academia Sinica, Taiwan) and Hiroshi Yadohisa (Doshisha University, Japan)
Chair: Yen-Tsung Huang (Academia Sinica, Taiwan)

• Robust inference of conditional average treatment effects using dimension reduction
  Ming-Yueh Huang (Academia Sinica, Taiwan), Shu Yang (North Carolina State University, USA)
• Bayesian multinomial model based on quantile regression
  Koki Matsuoka (NTT DATA Corporation, Japan), Masaaki Okabe, Jun Tsuchida (Doshisha University, Japan)
• Eigen-adjusted functional principal component analysis
  Ci-Ren Jiang (Academia Sinica, Taiwan), Eardi Lila (University of Washington, Seattle, US), John AD Aston (Cambridge University, United Kingdom), Jane-Ling Wang (University of California, Davis, US)
• Compressed sensing in scanning tunneling spectroscopy
  Yoshinori Nakanishi-Ohno (Doshisha University, Japan)

[PS2] e-Poster Core Session (Part 2)2/23 14:00-15:40(JST: UTC+9)
Room: Online

Chair: Michio Yamamoto (Okayama University, Japan), Yoshikazu Terada (Osaka University, Japan)

• [PS2-01] Causal mediation analysis for difference-in-difference design and panel data
  Pei-Hsuan Hsia, An-Shun Tai, Chu-Lan Micheal Kao (National Yang Ming Chiao Tung University, Taiwan), Yu-Hsuan Lin (National Health Research Institutes, Taiwan), Sheng-Hsuan Lin (National Yang Ming Chiao Tung University, Taiwan)
• [PS2-02] CUSUMIN: a cumulative sum interval design for cancer phase I dose finding
  Tomoyoshi Hatayama (Janssen Pharmaceutical KK, Japan), Seiichi Yasui (Tokyo University of Science, Japan)
• [PS2-03] On identification and estimation for sufficient cause interaction through quasi-instrumental variable
  Pei-Hsuan Hsia, An-Shun Tai, Sheng-Hsuan Lin (National Yang Ming Chiao Tung University, Taiwan)
• [PS2-04] Confidence interval for F1-scores for binary and multi-class classification
  Kanae Takahashi (Hyogo College of Medicine, Japan), Kouji Yamamoto (Yokohama City University, Japan), Aya Kuchiba (Kanagawa University of Human Services, Japan), Tatsuki Koyama (Vanderbilt University Medical Center, USA)
• [PS2-05] A study on estimation of the human interest for place based on the human movement data
  Shinnosuke Suzuki, Kosuke Okusa (Yokohama City University, Japan)
• [PS2-06] Comparison of software packages for network meta-analysis with time-to-event endpoint.
  Shintaro Hirano (Yokohama City University, A2 Healthcare Corp., Japan), Yosuke Muroi (Yokohama City University, Japan), Michinori Arimitsu (JMDC inc., Japan), Takayuki Abe (Yokohama City University, Japan)
• [PS2-07] Robust principal component analysis applicable to partially observed functional data
  Hyunsung Kim (Chung-Ang University, South Korea), Yeonjoo Park (University of Texas at San Antonio, U.S.A.), Yaeji Lim (Chung-Ang University, South Korea)
• [PS2-08] Embedding method for multiple multivariate data by using class label information
  Kenta Sakamoto, Hiroshi Yadoshisa (Doshisha University, Japan)
• [PS2-09] Partial least squares for qualitative data
  Chitose Nishiyama, Hiroko Katayama, Yuichi Mori (Okayama University of Science, Japan)
• [PS2-10] Sample size calculation in Bayesian clinical trials considering simultaneous efficacy and inefficacy for normally distributed outcome with unknown variance
  Yosuke Inaba (Chiba University Hospital, Japan), Tomoyuki Kakizume (Takeda Pharmaceutical Company Limited, Japan), Masaaki Doi (Kyoto University, Japan), Yohei Kawasaki (Japanese Red Cross College of Nursing, Japan)
• [PS2-11] Wasserstein discriminant analysis for limited labeled data
  Mitsuhiro Hashiguchi, Hiroshi Yadohisa (Doshisha University, Japan)

[IS13] Advances in Complex Data Analysis2/23 16:10-17:50(JST: UTC+9)
Room: RY103

Organizers: Yoshikazu Terada (Osaka University, Japan), Michio Yamamoto (Okayama University, Japan)
Chair: Michio Yamamoto (Okayama University, Japan)

• Ordinal probit models for heterogeneous thresholds using anchoring vignette
  Mariko Takagishi (Osaka University, Japan), Tomoyuki Sugimoto (Shiga University, Japan), Yoshikazu Terada (Osaka University, Japan)
• Sparse multivariate regression with missing values and its application to material properties prediction
  Kei Hirose (Kyushu University, Japan), Keisuke Teramoto (Hiroshima University, Japan)
• Truncated estimation for varying-coefficient functional linear models and its application to agricultural data
  Hidetoshi Matsui (Shiga University, Japan)
• Fast Approximation for large-scale clustering
  Yoshikazu Terada (Osaka University / RIKEN, Japan), Michio Yamamoto (Okayama University / RIKEN, Japan)

[IS02] Big Data and Analytics in COVID-192/23 16:10-17:50(JST: UTC+9)
Room: RY102

Organizer and Chair: Ying Chen (National University of Singapore, Singapore)

• Interpretable kernels
  Patrick J.F. Groenen (Erasmus University Rotterdam, Netherlands), Michael Greenacre (Universitat Pompeu Fabra, Spain)
• What factors drive the satisfaction of citizens on governments’ responses to COVID-19?
  Cathy W.S. Chen (Feng Chia University, Taiwan), Sangyeol Lee (Seoul National University, South Korea), Manh Cuong Dong (Feng Chia University, Taiwan), Masanobu Taniguchi (Waseda University, Japan)
• Measuring spillover and diffusion in mixed frequency large dimensional spatial data: method and application to global pandemic and unemployment interactions during COVID-19
  Xiaoyi Han (Xiamen University, China), Yanli Zhu (Hohai University, China), Yijiong Zhang (National University of Singapore, Singapore), Ying Chen (National University of Singapore, Singapore)
• Deep switching state space model for nonlinear time series forecasting with regime switching
  Xiuqin Xu, Chen Ying (National University of Singapore, Singapore)

[IS10] Recent Developments in Cognitive Diagnostic Models2/23 16:10-17:50(JST: UTC+9)
Room: RY101

Organizers: Koken Ozaki (University of Tsukuba, Japan), Kensuke Okada (University of Tokyo, Japan)
Chair: Kensuke Okada (University of Tokyo, Japan)

• Cognitive diagnosis models for multiple-choice items and their applications
  Koken Ozaki (University of Tsukuba, Japan)
• A variational Bayesian posterior approximation method for hidden Markov diagnosis classification models
  Yamaguchi Kazuhiro (University of Tsukuba, Japan), Alfonso J. Martinez (University of Iowa, USA)
• The practical application of cognitive diagnostic models to encourage students’ deep understanding and use of effective learning strategies
  Shun Saso, Motonori Oka, Satomi Shiba, Yuri Uesaka (University of Tokyo, Japan)
• Explanatory cognitive diagnostic model for process data
  Yoshito Tan, Kensuke Okada (University of Tokyo, Japan)
• A generalized class of cognitive diagnostic models for multiple-choice items derived from the log-linear model
  Kentaro Fukushima, Kensuke Okada (University of Tokyo, Japan)

[IS03] Digital Assets2/23 16:10-17:50(JST: UTC+9)
Room: RYB1

Organizer and Chair: Wolfgang K. Härdle(Humboldt University of Berlin, Germany)

• Analysis of cedar plantation management and mega-solar replacement
  Itaka, Shizu (Tokyo University of Science, Japan)
• Hedging cryptos with bitcoin futures
  Francis Liu (Berlin School of Economics and Law, Germany), Natalie Packham (Berlin School of Economics and Law, Germany), Meng-Jou LU (Asia University, Taiwan), Wolfgang Karl Härdle (Humboldt-Universität zu Berlin, Germany)
• Understanding smart contracts: hype or hope?
  Elizaveta Zinovyeva, Raphael C. G. Reule, Wolfgang Karl Härdle (Humboldt University of Berlin, Germany)

[CS05] Statistical Process Control / Monte Carlo Simulation2/23 16:10-17:50(JST: UTC+9)
Room: RY105

Chair: Masahiro Kuroda (Okayama University of Science, Japan)

• A distribution-free phase-I scheme for quad-aspects monitoring and control
  Akira Suzuki (Tokyo University of Science, Japan), Amitava Mukherjee (XLRI- Xavier School of Management, India), Hidetoshi Murakami (Tokyo University of Science, Japan)
• Stratification and optimal resampling in sequential Monte Carlo
  Yichao Li (Tsinghua University, China), Wenshuo Wang (Harvard University, USA), Ke Deng (Tsinghua University, China), Jun S. Liu (Harvard University, USA)
• A distribution-free phase-II scheme for tri-aspect surveillance using combinations of three orthogonal statistics
  Naoshi Nomoto (Tokyo University of Science, Japan), Amitava Mukherjee (XLRI- Xavier School of Management, India), Hidetoshi Murakami (Tokyo University of Science, Japan)
• Nonparametric monitoring of unknown structural dependence in high-dimensional data streams using pseudo copula and eigenvectors
  Prof. Amitava Mukherjee (XLRI - Xavier School of Management, India)

[CS06] Regression2/23 16:10-17:50(JST: UTC+9)
Room: RY106

Chair: Toshio Honda (Hitotsubashi University, Japan)

• The naïve estimators of a Poisson regression model with measurement errors
  Kentarou Wada, Takeshi Kurosawa (Tokyo University of Science, Japan)
• Varying coefficient models for extreme value index regression
  Koki Momoki, Takuma Yoshida (Kagoshima University, Japan)
• A goodness-of-fit measure for logistic regressions under separation
  Naoki Kotani, Takeshi Kurosawa (Tokyo University of Science, Japan)
• Forward variable selection for ultra-high dimensional quantile regression models
  Toshio Honda (Hitotsubashi University, Japan), Chien-Tong Lin (National Tsing Hua University, Taiwan)

[Keynote Talk 3] Tree-based Gaussian Process for Computer Experiments with Many-Category Qualitative Factors2/24 09:45-10:30(JST: UTC+9)
Room: RYB2

Chair: Yuichi Mori (Okayama University of Science, Japan)

• Tree-based Gaussian Process for Computer Experiments with Many-Category Qualitative Factors
  Ray-Bing Chen (National Cheng Kung University, Taiwan)

  In computer experiments, Gaussian process models are commonly used for emulation. However, when both qualitative and quantitative factors are involved in the experiments, emulation using Gaussian process models becomes challenging. In particular, when the qualitative factors contain many categories in the experiments, existing methods in the literature become cumbersome due to curse of dimensionality. Motivated by the computer experiments for the design of a cooling system, a new tree-based Gaussian process for emulating computer experiments with many-category qualitative factors is proposed. The proposed method incorporates a tree structure to split the categories in the qualitative factors, and Gaussian process models are employed for modeling the simulation outputs in the leaf nodes. The splitting rule takes into account the cross-correlations between the categories of the qualitative factors, which have been shown by a recent theoretical study to be a crucial element for improving the prediction accuracy. The application to the design of a cooling system indicates that the proposed method not only enjoys marked computational advantages and produces accurate predictions, but also provides valuable insights into the cooling system by discovering the tree structure.

[IS09] Methods and Applications in Deep Learning2/24 11:00-12:40(JST: UTC+9)
Room: RY103

Organizer and Chair: Hsin-Chou Yang (Academia Sinica, Taiwan)

• Robust aggregation for federated learning by minimum gamma-divergence estimation
  Cen-Jhih Li (Academia Sinica, Taiwan), Pin-Han Huang (National Taiwan University, Taiwan), Yi-Ting Ma (Academia Sinica, Taiwan), Hung Hung (National Taiwan University, Taiwan), Su-Yun Huang (Academia Sinica, Taiwan)
• A novel approach for predicting atrial fibrillation recurrence after ablating using deep convolutional neural networks by assessing left atrial curved M-mode
  Yi-Ting Hwang (National Taipei University, Taiwan), Hui-Ling Lee (Chang Gung Memorial Hospital, Taiwan), Chung-Chuan Chou (Chang Gung University College of Medicine, Taiwan)
• Deep learning-based segmentation for pneumothorax identification in chest radiograph: application of tensor dimensionality reduction method
  Yi-Ju Lee (Academia Sinica, Taiwan), Toshinari Morimoto (National Taiwan University, Taiwan), Su-Yun Huang (Academia Sinica, Taiwan)

[IS16] Recent Advances in Computational Statistics and Related Fields II2/24 11:00-12:40(JST: UTC+9)
Room: RY102

Organizers: Hiroshi Yadohisa (Doshisha University, Japan) and Tso-Jung Yen (Academia Sinica, Taiwan)
Chair: Yuejun Zheng (Doshisha University, Japan)

• Training structured neural networks through manifold identification and variance reduction
  Ching-pei Lee, Zih-Syuan Huang (Academia Sinica, Taiwan)
• Feature estimation and testing for linear regression with time series regressors
  Junho Yang (Academia Sinica, Taiwan), Suhasini Subba Rao (Texas A&M University, USA)
• Comparative analysis of Japanese folk songs using rhythmic indices
  Akihiro KAWASE (Doshisha University, Japan)
• An empirical study on effects of gaming on motivation for learning of college student -focusing on mediation of generalized self-efficacy-
  Hanlin Yeh, Ryozo Yoshino, Yuejun Zheng (Doshisha University, Japan)

[IS18] Recent Advances in Mixture Modelling2/24 11:00-12:40(JST: UTC+9)
Room: RY101

Organizer and Chair: Thomas Yee (University of Auckland, New Zealand)

• Cluster analysis for ordered categorical data
  Ivy Liu (Victoria University of Wellington, New Zealand), Daniel Fernandez (Polytechnic University of Catalonia-BarcelonaTech, Spain), Richard Arnold (Victoria University of Wellington, New Zealand), Roy Costilla (Agresearch, New Zealand), Louise McMillan, Shirley Pledger (Victoria University of Wellington, New Zealand)
• Merging modal clusters via significance assessment
  Yong Wang, Shengwei Hu (University of Auckland, New Zealand)
• A nonparametric mixture approach to density and null proportion estimation in large-scale multiple comparison problems
  Xiangjie Xue, Yong Wang (University of Auckland, New Zealand)
• Generally-altered, -inflated, -truncated and deflated negative binomial regression
  Thomas Yee (University of Auckland, New Zealand), Chenchen Ma (Peking University, China)

[CS07] Time Series / Stochastic Process2/24 11:00-12:40(JST: UTC+9)
Room: RY105

Chair: Masayuki Uchida (Osaka University, Japan)

• Statistical modeling of market capitalization with financial data and esg rating data
  Masayuki Jimichi, Chika Saka (Kwansei Gakuin University, Japan), Daisuke Miyamoto (University of Tokyo, Japan), Syuichi Nagata (Kwansei Gakuin University, Japan)
• l_{1} common trend filtering: an extension
  Ruoyi Bao, Hiroshi Yamada, Kazuhiko Hayakawa (Hiroshima University, Japan)
• Bayesian modelling integer-valued transfer function models
  Aljo Clair P. Pingal, Cathy W.S. Chen (Feng Chia University, Taiwan)
• Adaptive change detection for ergodic diffusion processes based on high frequency data
  Yozo Tonaki (Osaka University, Japan), Yusuke Kaino (Kobe University, Japan), Masayuki Uchida (Osaka University, Japan)

[CS08] Statistical Software / Qualitative Data2/24 11:00-12:40(JST: UTC+9)
Room: RY106

Chair: Kohei Adachi (Osaka University, Japan)

• Item selection for qualitative data
  Hiroko Katayama, Chitose Nishiyama, Yuichi Mori (Okayama University of Science, Japan)
• A taxonomy of factor analysis models: two- versus three-parts and random- versus fixed-scores
  Kohei Adachi (Osaka University, Japan)
• Integrated online statistics education system with web-based eStat software
  Jung Jin Lee (ADA University, Azerbaijan)
• compak: an R package for Conway-Maxwell-Poisson associated kernel
  Alan Huang, Lucas Sippel (University of Queensland, Australia), Thomas Fung (Macquarie University, Australia)

[IS05] Statistical methods for covariances and other dependence structures2/24 14:00-15:40(JST: UTC+9)
Room: RY103

Organizer and Chair: Jaeyong Lee (Seoul National University)

• Semi-parametric contextual bandits with graph-Laplacian regularization
  Young-Geun Choi (Sookmyung Women's University, South Korea), Gi-Soo Kim (UNIST, South Korea), Seunghoon Paik (UC Berkeley, USA), Myunghee Cho Paik (Seoul National University, South Korea)
• Scalable and optimal Bayesian inference for sparse covariance matrices via screened beta-mixture prior
  Kyoungjae Lee (Sungkyunkwan University, South Korea), Seongil Jo (Inha University, South Korea), Jaeyong Lee (Seoul National University, South Korea)
• An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units
  Young-Geun Choi (Sookmyung Women's University, South Korea), Seunghwan Lee, Donghyeon Yu (Inha University, South Korea)
• Bayesian optimal two-sample tests in high-dimension
  Kyoungjae Lee (Sungkyunkwan University, South Korea), Kisung You (Yale School of Medicine, USA), Lizhen Lin (University of Notre Dame, USA)

[IS06] Design and Analysis of Modern Experiments and Computer Experiments2/24 14:00-15:40(JST: UTC+9)
Room: RY102

Organizer and Chair: Frederick Kin Hing Phoa (Academia Sinica, Taiwan)

• Predictive subdata selection for computer models
  Ming-Chung Chang (Academia Sinica, Taiwan)
• Bagging-enhanced sampling schedule for functional quadratic regression
  Ming-Hung Kao (Arizona State University, USA), Hyungmin Rha (Eli Lilly, USA), Rong Pan (Arizona State University, USA)
• A factor screening approach for supersaturated experiments with an exponential family response via Dantzig selector 2.0
  Jing-Wen Huang (National Tsing Hua University, Taiwan), Frederick Kin Hing Phoa (Academia Sinica, Taiwan), Yu-Wei Chen (National Tsing Hua University, Taiwan)
• Uniform projection designs and strong orthogonal arrays
  Cheng-Yu Sun, Boxin Tang (Simon Fraser University, Canada)

[CS09] Accelerate Life Test2/24 14:00-15:40(JST: UTC+9)
Room: RY105

Chair: David Han (University of Texas at San Antonio, USA)

• Bayesian designs for progressively type-I censored simple step-stress accelerated life tests under cost constraint and order-restriction
  Crystal Wiedner, David Han (University of Texas at San Antonio, USA)
• Inference for the progressively type-I censored k-level step-stress accelerated life tests under interval monitoring with the lifetimes from a log-location-scale family
  Aruni Jayathilaka, David Han (University of Texas at San Antonio, USA)
• Adaptive design and inference for a step-stress accelerated life test
  Haifa Ismail-Aldayeh, David Han (University of Texas at San Antonio, USA)
• Design optimization for the step-stress accelerated degradation tests based on exponential dispersion process
  David Han (University of Texas at San Antonio, USA)

[CS10] Application2/24 14:00-15:40(JST: UTC+9)
Room: RY106

Chair: Shuen-Lin Jeng (National Cheng Kung University, Taiwan)

• Analysis of social media usage among customers in the cosmetics industry
  Reina Mishima, Yumi Asahi (Tokyo University of Science, Japan)
• Discriminant analysis of finger plethysmogram wave data in depressed patients using sample entropy
  Tokihiko Niwa (Kwansei Gakuin Senior High School, Japan), Sou Mirai (Tokyo Dental College Ichikawa General Hospital, Japan), Shingo Shirahata (Osaka University, Japan), Testurou Kamae (Osaka City University, Japan), Makio Syuukawa (Syuukawa Cardiology Clinic, Japan), Makoto Komazawa, Kenichi Itao (WINFrontier Co., Ltd., Japan)
• A study of impacts of of historical contexts on labor force participation rates for South Korean and Japanese women based on age-by-period data
  Nobutane Hanayama (Shobi University, Japan), Myung J. Hwang (Korean University, South Korea)
• Multiple testing of differential gene expression in combined rna-seq experiments based on a data-driven simulation procedure
  Shuen-Lin Jeng (National Cheng Kung University, Taiwan)

IASC-ARS General Assembly / Closing Ceremony2/24 15:50-16:30(JST: UTC+9)
Room: RYB2