arXiv Statistics @arxiv_stats@qoto.org

Simultaneous Estimation and Model Choice for Big Discrete Time-to-Event Data with Additive Predictors https://arxiv.org/abs/2507.08099 #stat.ME

Mallows Model with Learned Distance Metrics: Sampling and Maximum Likelihood Estimation https://arxiv.org/abs/2507.08108 #stat.ML #math.PR #math.ST #stat.TH #cs.DS #cs.LG

Uncertainty quantification of a multi-component Hall thruster model at varying facility pressures https://arxiv.org/abs/2507.08113 #physics.plasm-ph #physics.comp-ph #stat.AP #stat.ML

Block Designs that Provide Optimal Power in the Cochran-Mantel-Haenszel Test https://arxiv.org/abs/2507.08125 #stat.ME

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk https://arxiv.org/abs/2507.08150 #stat.ML #stat.ME #cs.LG

Optimal Experimental Design for Microplastics Sampling Experiments https://arxiv.org/abs/2507.08170 #stat.AP #stat.ME

Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks https://arxiv.org/abs/2507.08261 #stat.ML #cs.LG

MIRRAMS: Towards Training Models Robust to Missingness Distribution Shifts https://arxiv.org/abs/2507.08280 #stat.ML #cs.LG

Testen statistischer Funktionale f\"ur Zweistichprobenprobleme https://arxiv.org/abs/2507.08373 #math.ST #stat.TH

A proposal for homoscedastic modelling with conditional auto-regressive distributions https://arxiv.org/abs/2507.08376 #stat.ME

A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm https://arxiv.org/abs/2507.02072 #stat.ME

Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation https://arxiv.org/abs/2507.02084 #stat.ML #eess.SP #cs.LG

BACTA-GPT: An AI-Based Bayesian Adaptive Clinical Trial Architect https://arxiv.org/abs/2507.02130 #stat.AP #stat.OT

Hybrid least squares for learning functions from highly noisy data https://arxiv.org/abs/2507.02215 #stat.ML #math.NA #cs.LG #cs.NA

A Variance Decomposition Approach to Inconclusives in Forensic Black Box Studies https://arxiv.org/abs/2507.02240 #stat.AP

Transfer Learning for Matrix Completion https://arxiv.org/abs/2507.02248 #stat.ML #cs.LG

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation https://arxiv.org/abs/2507.02275 #stat.ML #econ.EM #math.ST #stat.ME #stat.TH #cs.LG

Fractional differential entropy and its application in modeling one-dimensional flow velocity https://arxiv.org/abs/2507.02323 #math.ST #stat.TH

Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited https://arxiv.org/abs/2507.02377 #stat.ML #cs.LG

Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach https://arxiv.org/abs/2507.02425 #stat.ME