3 papers
stat.ME2026
A Bayesian regression framework for circular models with INLA
Xiang Ye, Janet Van Niekerk, Haavard Rue
Regression models for circular variables are less developed, since the concept of building a linear predictor from linear combinations of covariates and various random effects, bre…
cs.LG2026
SIGMA: Scalable Spectral Insights for LLM Model Collapse
Yi Gu, Lingyou Pang, Xiangkun Ye +4
The rapid adoption of synthetic data for training Large Language Models (LLMs) has introduced the technical challenge of "model collapse"-a degenerative process where recursive tra…
stat.ME2025
Penalizing complexity priors for Bayesian inference of circular models
Xiang Ye, Janet Van Niekerk, Håvard Rue
Advancements in computational power and methodologies have enabled research on massive datasets. However, tools for analyzing data with directional or periodic characteristics, suc…