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Seminars

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2024-04-01 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Testing specification of distribution in stochastic frontier analysis

Prof. Ming-Yen Cheng
2024-04-08 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Causal mediation analysis of non-mortality outcomes with follow up truncated by death: Survivor natural direct and indirect effects

Prof. An-Shun Tai
2024-04-15 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Scalable spatial varying coefficient model for a wide variety of non-Gaussian data

Prof. Daisuke Murakami
2024-04-22 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Iterative Estimating Equations for Disease Mapping with Spatial Zero-inflated Poisson Data

Dr. Pei-Sheng Lin
2024-04-29 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Watanabe Theory of Bayesian Statistics: Mathematics of WAIC/WBIC

Prof. Joe Suzuki
2024-05-10 (Fri.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
How to Improve Data Science Collaboration Skills

Prof. Eric Vance
2024-06-03 (Mon.), 10:30 AM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
Estimation of l_0 Norm Penalized Models: A Statistical Treatment

Prof. Yu-Bo Wang
2024-06-12 (Wed.), 15:00 PM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 14:40.
A new joint model of a longitudinal outcome and a competing risks time-to-event outcome

Prof. Gang Li
2024-06-12 (Wed.), 15:50 PM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 15:40.
Statistical Principles for Platform Trials

Prof. Xingping Cui
2024-06-12 (Wed.), 16:40 PM
Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 16:30.
clusterMLD: An Efficient Clustering Method for Multivariate Longitudinal Data

Prof. Ying Zhang
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