New preprint! I’m excited to share our recent work on discrete-valued time series, where we derive analytic standard errors for a flexible modeling framework. Preprint link and more details below 👇 arxiv.org/abs/2607.02732

Analytic Standard Errors for Latent Gaussian Discrete-Valued Multivariate Time Series

Unlike their continuous-valued counterparts, there are no universally preferred methodologies for modeling discrete-valued time series. This is especially problematic in fields such as psychology and ...

arxiv.org

Reposting for the morning crowd. Check out our new preprint if you’re interested in methods for modeling ILD 👇

Christopher Crawford@cmcrawford.bsky.social · 2y ago

We have a new preprint! I'm excited to share recent work related to modeling multiple-subject, multivariate time series. We extend the multi-VAR framework to allow for data-driven identification and penalized estimation of subgroup-specific dynamics. arxiv.org/abs/2409.03085

We have a new preprint! I'm excited to share recent work related to modeling multiple-subject, multivariate time series. We extend the multi-VAR framework to allow for data-driven identification and penalized estimation of subgroup-specific dynamics. arxiv.org/abs/2409.03085

Penalized Subgrouping of Heterogeneous Time Series

Interest in the study and analysis of dynamic processes in the social, behavioral, and health sciences has burgeoned in recent years due to the increased availability of intensive longitudinal...

arxiv.org

My lab is recruiting graduate students for Fall 2024. If you're interested in doing research at the intersection of modeling time-dependent systems, statistical programming, and developmental science come work with me and the amazing scientists at Penn State! quantdev.ssri.psu.edu