Abstract

Four speakers including myself are invited to present their recent extraordinary works related to innovative statistical modelling for complex data in the 64th ISI World Statistics Congress - Ottawa, Canada (July 16-20, 2023). The information of the four speakers is delivered below.
The 1st presenter:
Professor Victor Hugo Lachos Davila
Affiliation: Department of Statistics, University of Connecticut, Storrs, USA
Email: hlachos@uconn.edu
Presenting Title: Likelihood-based inference for the multivariate skew-t regression with censored or missing responses
The 2nd presenter:
Professor Wan-Lun Wang
Affiliation: Department of Statistics and Institute of Data Science, National Cheng Kung University, Taiwan
Email: wangwl@gs.ncku.edu.tw
Presenting Title: A selection approach to multivariate linear mixed models with censored and non-ignorable missing responses
The 3rd presenter:
Professor Luis Mauricio Castro
Affiliation: Department of Statistics, Pontificia Universidad Católica de Chile, Chile
Email: mcastro@mat.uc.cl
Presenting Title: Using joint random partition models for flexible change point analysis in multivariate processes
The 4th presenter:
Professor Tsung-I Lin
Affiliation: Institute of Statistics, National Chung Hsing University, Taiwan
Email: tilin@nchu.edu.tw
Presenting Title: Flexible clustering for asymmetric data via mixtures of unrestricted skew normal factor analyzers