Tag: Julia Fischer

Congratulations to the Graduating Members of the Change Lab!

Congratulations to Charles Shi, Julia Fischer, Parker Daley, Rebecca Trockel, Sam Prieto Serrano, and Tristan Peng!

Evaluation and Comparison of Statistical Models for Intensive Longitudinal Data

Recent advances in machine learning, data availability, and computational resources have given rise to complex nonlinear models of psychological processes. Though theory can help guide model selection, there is no widely agreed-upon framework for identifying models that are appropriately complex and accurate for examining the phenomenon of interest...

Variational Inference as Tractable Approximation for Bayesian Models of Psychological Change Processes

Large-scale Bayesian modeling of nonlinear psychological change processes can be intractable and unsustainable. Variational inference facilitates Bayesian analysis through estimation of approximate posterior distributions...

Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach

This paper investigates how the topical flow of dyadic conversations emerges over time and how differences in interlocutors’ personality traits contribute to this topical flow.

Bayesian Methods Tutorials for Psychological Research

Methods for collecting psychologically relevant data and modeling these data are rapidly advancing. Bayesian statistical methods have emerged as a set of particularly useful techniques, both within cognitive psychology and more broadly in psychological science...

The Probabilistic Mind: A Bayesian Cognitive Modeling Tutorial

Stochastic Systems: A Bayesian Networks Tutorial

The Basics of the Bayesian Approach: An Introductory Tutorial

Bayesian Methods

Bayesian Bloom by Julia Fischer and A Garron Torres As the use of large data sets and complex modeling methods becomes more common in psychological science, students and researchers must be equipped with the relevant statistical knowledge. In particular, Bayesian statistical methods have become increasingly popular, both within cognitive psychology and more broadly in the… Read more Bayesian Methods

Modeling With Uncertainty: A Bayesian Parameter Estimation Tutorial