arXiv Statistics @arxiv_stats@qoto.org

Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models. (arXiv:2302.14218v1 [stat.ME]) http://arxiv.org/abs/2302.14218

Optimal Priors for the Discounting Parameter of the Normalized Power Prior. (arXiv:2302.14230v1 [stat.ME]) http://arxiv.org/abs/2302.14230

metamedian: An R package for meta-analyzing studies reporting medians. (arXiv:2302.14243v1 [stat.ME]) http://arxiv.org/abs/2302.14243

Sequential edge detection using joint hierarchical Bayesian learning. (arXiv:2302.14247v1 [stat.AP]) http://arxiv.org/abs/2302.14247

Permutation tests for assessing potential non-linear associations between treatment use and multivariate clinical outcomes. (arXiv:2302.12866v1 [stat.ME]) http://arxiv.org/abs/2302.12866

Causal quartets: Different ways to attain the same average treatment effect. (arXiv:2302.12878v1 [stat.ME]) http://arxiv.org/abs/2302.12878

Multiple Imputation for Non-Monotone Missing Not at Random Binary Data using the No Self-Censoring Model. (arXiv:2302.12894v1 [stat.ME]) http://arxiv.org/abs/2302.12894

Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. (arXiv:2302.12909v1 [cs.LG]) http://arxiv.org/abs/2302.12909

Generalization Bounds for Set-to-Set Matching with Negative Sampling. (arXiv:2302.12991v1 [stat.ML]) http://arxiv.org/abs/2302.12991

Intrinsic minimum average variance estimation for sufficient dimension reduction with symmetric positive definite matrices and beyond. (arXiv:2302.13059v1 [stat.ME]) http://arxiv.org/abs/2302.13059

Average case analysis of Lasso under ultra-sparse conditions. (arXiv:2302.13093v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2302.13093

Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data. (arXiv:2302.13133v1 [stat.ME]) http://arxiv.org/abs/2302.13133

On Bellman's principle of optimality and Reinforcement learning for safety-constrained Markov decision process. (arXiv:2302.13152v1 [eess.SY]) http://arxiv.org/abs/2302.13152

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. (arXiv:2302.13183v1 [stat.ML]) http://arxiv.org/abs/2302.13183

A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data. (arXiv:2302.12283v1 [stat.ME]) http://arxiv.org/abs/2302.12283

Beyond Moments: Robustly Learning Affine Transformations with Asymptotically Optimal Error. (arXiv:2302.12289v1 [cs.DS]) http://arxiv.org/abs/2302.12289

Uncertainty Injection: A Deep Learning Method for Robust Optimization. (arXiv:2302.12304v1 [cs.LG]) http://arxiv.org/abs/2302.12304

Testing Serial Independence of Object-Valued Time Series. (arXiv:2302.12322v1 [stat.ME]) http://arxiv.org/abs/2302.12322

Rank-Based Causal Discovery for Post-Nonlinear Models. (arXiv:2302.12341v1 [stat.ML]) http://arxiv.org/abs/2302.12341

RESI: An R Package for Robust Effect Sizes. (arXiv:2302.12345v1 [stat.CO]) http://arxiv.org/abs/2302.12345