Invited Talk

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
Statistical Learning and Data Science Conference, Invited Talk
Nov 2, 2026 Marriott at the Brooklyn Bridge, United States
Project Publication
Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
State-space model for joint analysis of behavioral tasks and functional magnetic resonance imaging
Statistical Learning and Data Science Conference, Invited Talk, Presented by Xingche Guo
Nov 2, 2026 Marriott at the Brooklyn Bridge, United States
Project Publication
State-space model for joint analysis of behavioral tasks and functional magnetic resonance imaging
Shared hidden‑factor information framework for multiple behavioral tasks
International Chinese Statistical Association Applied Statistics Symposium, Invited Talk
Jun 15, 2026 George Mason University, United States
Project Publication
Shared hidden‑factor information framework for multiple behavioral tasks
Boosting methods for interval-censored data with regression and classification
Statistical Society of Canada Annual Meeting, Invited Talk, Presented by Wenqing He
Jun 1, 2026 McMaster University, Canada
Project Publication
Boosting methods for interval-censored data with regression and classification
Joint modeling for learning decision-making dynamics in behavioral experiments
Neuroimaging Working Group Meeting, Invited Talk
Feb 27, 2026 Columbia University, United States
Project Publication
Joint modeling for learning decision-making dynamics in behavioral experiments
A unified framework of analyzing missing data and variable selection using regularized likelihood
Joint Meetings of Taipei International Statistical Symposium and International Chinese Statistical Association International Conference, Invited Talk, Presented by Wenqing He
Dec 18, 2025 Academia Sinica, China
Project Publication
A unified framework of analyzing missing data and variable selection using regularized likelihood
A unified framework of analyzing missing data and variable selection using regularized likelihood
Joint Conference on Statistics and Data Science in China, Invited Talk, Presented by Wenqing He
Jul 12, 2025 Taixuhu Holiday Hotel, China
Project Publication
A unified framework of analyzing missing data and variable selection using regularized likelihood
Statistical modeling for human reward-based behavioral task data
International Forum on Statistics, Invited Talk, Presented by Xingche Guo
Jul 6, 2025 Renmin University of China, China
Project Slides Publication
Statistical modeling for human reward-based behavioral task data
A unified framework of analyzing missing data and variable selection using regularized likelihood
International Conference on Statistics and Data Science, Invited Talk, Presented by Wenqing He
Jun 23, 2025 The Harbour Centre, Canada
Project Publication
A unified framework of analyzing missing data and variable selection using regularized likelihood
Joint modeling for learning decision-making dynamics in behavioral experiments
New England Statistics Symposium, Invited Talk
Jun 2, 2025 Yale University, United States
Project Publication
Joint modeling for learning decision-making dynamics in behavioral experiments