3 papers
stat.ME2026
A renormalization-group inspired lattice-based framework for piecewise generalized linear models
Joshua C. Chang
We formally introduce a class of models inspired by renormalization group (RG) theory, built on additive hierarchical expansions analogous to those appearing in functional ANOVA an…
math.NA2026
Operator splitting for exploiting linear-rate closure in solving infinite ODE hierarchies
Joshua C Chang
We introduce an operator-splitting method for infinite hierarchies of linear ordinary differential equations (ODEs) indexed by nonnegative integers. When the coupling coefficients…
stat.ME2024
Perturbative adaptive importance sampling for Bayesian LOO cross-validation
Joshua C Chang, Xiangting Li, Tianyi Su +4
Importance sampling (IS) is an efficient stand-in for model refitting in performing (LOO) cross-validation (CV) on a Bayesian model. IS inverts the Bayesian update for a single obs…