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Quantitative Psychology Brownbag

Z Fisher
March 20, 2023
12:30PM - 1:30PM
Zoom

Date Range
Add to Calendar 2023-03-20 12:30:00 2023-03-20 13:30:00 Quantitative Psychology Brownbag https://osu.zoom.us/j/94990914062?pwd=b3JMdHRLVGUwUGZEcmQ4dnk5emxXUT09 Dr. Zachary Fisher Department of Human Development and Family Studies Pennsylvania State University   Title: Structured Estimation of Time Series from Multiple Individuals    Abstract: Data rising from high-dimensional time-dependent systems is increasingly common in the health, social and behavioral sciences. Despite the many benefits these data provide, less work has been devoted to addressing the strong structural heterogeneity present in many processes involving human behavior. To address this gap in the literature, I will discuss some recent work modeling time series data arising from multiple individuals where both qualitative and quantitative differences in the structure of individual dynamics are accommodated.     Zachary Fisher is an Assistant Professor in the Department of Human Development and Family Studies at the Pennsylvania State University and the Principal Investigator of the Time Dependent Systems Lab. Dr. Fisher’s research is focused on methods development to help researchers better understand and intervene on complex time-dependent processes. His current work addresses the analysis of time-varying measures of physiology and behavior, intensive longitudinal data (ILD), the joint modeling of behavioral and biological data, time-varying parameter models, the synthesis of multi-way data (e.g. cross-sectional and time-series) and statistical programming.   Zoom Department of Psychology ASC-psychmainoffice@osu.edu America/New_York public

https://osu.zoom.us/j/94990914062?pwd=b3JMdHRLVGUwUGZEcmQ4dnk5emxXUT09

Dr. Zachary Fisher

Department of Human Development and Family Studies

Pennsylvania State University

 

Title: Structured Estimation of Time Series from Multiple Individuals 

 

Abstract: Data rising from high-dimensional time-dependent systems is increasingly common in the health, social and behavioral sciences. Despite the many benefits these data provide, less work has been devoted to addressing the strong structural heterogeneity present in many processes involving human behavior. To address this gap in the literature, I will discuss some recent work modeling time series data arising from multiple individuals where both qualitative and quantitative differences in the structure of individual dynamics are accommodated.

 

 

Zachary Fisher is an Assistant Professor in the Department of Human Development and Family Studies at the Pennsylvania State University and the Principal Investigator of the Time Dependent Systems Lab. Dr. Fisher’s research is focused on methods development to help researchers better understand and intervene on complex time-dependent processes. His current work addresses the analysis of time-varying measures of physiology and behavior, intensive longitudinal data (ILD), the joint modeling of behavioral and biological data, time-varying parameter models, the synthesis of multi-way data (e.g. cross-sectional and time-series) and statistical programming.