Interdisciplinary Seminars

Interdisciplinary Seminar: Wes Bonifay, Stanford University

Uncovering the Hidden Complexity of Statistical Models Presented by Dr. Wes Bonifay, University of Missouri Friday, October 13 11:00 a.m. ET Virtual meeting – Webex meeting room Model complexity is the ability of a statistical model to fit a wide range of data patterns. Complexity is routinely assessed by simply counting the number of freely […]

Interdisciplinary Seminar: Dr. Xinyuan Song, The Chinese University of Hong Kong

Hidden Markov Models With An Unknown Number Of Hidden States Presented by Dr. Xinyuan Song, The Chinese University of Hong Kong Friday, NOVEMBER¬† 3 10:00 a.m. ET Virtual meeting – Webex meeting room Hidden Markov models (HMMs) are valuable tools for analyzing longitudinal data due to their capability to describe dynamic heterogeneity. Conventional HMMs typically […]