arXiv Statistics @arxiv_stats@qoto.org

Variational Bayesian Logistic Tensor Regression with Application to Image Recognition https://arxiv.org/abs/2505.05730 #stat.ME

Model-based calibration of gear-specific fish abundance survey data as a change-of-support problem https://arxiv.org/abs/2505.05767 #q-bio.QM #stat.ME

Statistical methods for cost-effectiveness analysis of left-truncated censored survival data with treatment delays https://arxiv.org/abs/2505.05771 #stat.ME

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques https://arxiv.org/abs/2505.05778 #stat.ME

GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution https://arxiv.org/abs/2505.05862 #stat.ME

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo https://arxiv.org/abs/2505.05932 #stat.ME #stat.AP

Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs https://arxiv.org/abs/2505.03814 #stat.ML #cs.AI #cs.CL #cs.LG

Categorical and geometric methods in statistical, manifold, and machine learning https://arxiv.org/abs/2505.03862 #stat.ML #math.CT #math.DG #math.ST #stat.TH #cs.LG

Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model https://arxiv.org/abs/2505.03893 #stat.ME #math.OC #stat.AP

ROSE: Randomized Optimal Selection Design for Dose Optimization https://arxiv.org/abs/2505.03898 #stat.ME

Causal Inference in Counterbalanced Within-Subjects Designs https://arxiv.org/abs/2505.03937 #stat.ME #econ.EM

A computationally efficient framework for realistic epidemic modelling through Gaussian Markov random fields https://arxiv.org/abs/2505.03938 #stat.CO

Survey Experience and Nonresponse in an Online Probability Panel: A Survival Analysis https://arxiv.org/abs/2505.03971 #stat.ME

Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models https://arxiv.org/abs/2505.03990 #stat.ME

Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics https://arxiv.org/abs/2505.03995 #stat.ME

Variational Formulation of the Particle Flow Particle Filter https://arxiv.org/abs/2505.04007 #stat.ML #cs.LG

Generative modelling of multivariate geometric extremes using normalising flows https://arxiv.org/abs/2505.02957 #stat.ME

GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds https://arxiv.org/abs/2505.02972 #stat.ML #stat.ME #cs.LG

Robust High-Dimensional Covariate-Assisted Network Modeling https://arxiv.org/abs/2505.02986 #stat.ME #stat.CO

New affine invariant ensemble samplers and their dimensional scaling https://arxiv.org/abs/2505.02987 #stat.CO #math.ST #stat.ML #stat.TH #cs.LG