Blog

When the DIC Goes Negative: A Parameterization-Invariant Fix

Research

Bayesian

Model Selection

DIC

WAIC

Latent Variables

Why the classic DIC breaks down in latent variable models, and how a simple plug-in-free variant (DIC_i) fixes it: new paper with Sophia Rabe-Hesketh, now on arXiv.

New Publication: Reliability of Hybrid Human-ML Scoring Systems

Research

Publications

Psychometrics

Machine Learning

IRT

Many-Facet Rasch Model

I am pleased to share that our new paper, “Revisiting reliability with human and machine learning raters under scoring design and rater configuration in the many-facet Rasch…

New Publication: Trajectories of Depressive Symptoms During COVID-19

I’m very excited to share that our article,
“Trajectories of Depressive Symptom Among College Students in China During the COVID-19 Pandemic: Association With Suicidal…

BEAR Seminar Talk: When Growth Mixture Models Break

[BEAR Seminar] When Growth Mixture Models Break

I’m excited to be giving a BEAR Seminar talk at UC Berkeley:

Welcome

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