Talks & Presentations

• BEAR Seminar — When Growth Mixture Models Break: Identifiability Failures and Misleading Model Evaluation
  UC Berkeley · September 9, 2025 · 2:00 p.m.
  📄 Read blog post · 🔗 Event details

NCME (2025, 2024, 2023, 2022) — Topics include integrating ML and human rater scores (MFRM), ChatGPT transadaptation, Bayesian comparison of GMMs, and growth mixture class enumeration.
IMPS (2025, 2023) — Model evaluation failures and diagnostics in GMM; Bayesian identification and local identifiability.
RSS 2024 — Bayesian approaches to identifiability and estimation of GMM.
StanCon 2024 — Diagnostics and identification for GMM in Stan.
M3 2023 — Marginal likelihood for GMM; dynamic process heterogeneity.
Other — AEFP 2022; SRCoS 2019; NEERO 2019; URS 2018.