3 papers
stat.CO2026
Leveraging Sparsity to Improve No-U-Turn Sampling Efficiency for Hierarchical Bayesian Models
Cole C. Monnahan, Kasper Kristensen, James T. Thorson +1
Analysts routinely use Bayesian hierarchical models to understand natural processes. The no-U-turn sampler (NUTS) is the most widely used algorithm to sample high-dimensional, cont…
math.AT2025
Analyzing the topological structure of composite dynamical systems
Michael Robinson, Michael L. Szulczewski, James T. Thorson
This chapter explores dynamical structural equation models (DSEMs) and their nonlinear generalizations into sheaves of dynamical systems. It demonstrates these two disciplines on p…
stat.ME2024
A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
Nan Zheng, Noel Cadigan, James T. Thorson
We propose two methods to evaluate the conditional Akaike information (cAI) for nonlinear mixed-effects models with no restriction on cluster size. Method 1 is designed for continu…