arXiv Statistics @arxiv_stats@qoto.org

Embedding Positive Process Models into Lognormal Bayesian State Space Frameworks using Moment Matching. (arXiv:2212.10697v1 [stat.AP]) http://arxiv.org/abs/2212.10697

A Dirichlet Process Mixture Model for Directional-Linear Data. (arXiv:2212.10704v1 [stat.ME]) http://arxiv.org/abs/2212.10704

Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing. (arXiv:2212.10718v1 [cs.LG]) http://arxiv.org/abs/2212.10718

Development of robust X-bar charts with unequal sample sizes. (arXiv:2212.10731v1 [stat.ME]) http://arxiv.org/abs/2212.10731

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. (arXiv:2212.10789v1 [cs.LG]) http://arxiv.org/abs/2212.10789

Inference for Model Misspecification in Interest Rate Term Structure using Functional Principal Component Analysis. (arXiv:2212.10790v1 [econ.EM]) http://arxiv.org/abs/2212.10790

Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. (arXiv:2212.10839v1 [cs.LG]) http://arxiv.org/abs/2212.10839

Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms. (arXiv:2212.09749v1 [q-bio.NC]) http://arxiv.org/abs/2212.09749

A Bayesian algorithm for sample selection bias correction. (arXiv:2212.09813v1 [stat.ME]) http://arxiv.org/abs/2212.09813

Improving Estimation Efficiency for Two-Phase, Outcome-Dependent Sampling Studies. (arXiv:2212.09817v1 [stat.ME]) http://arxiv.org/abs/2212.09817

Fixed and adaptive landmark sets for finite pseudometric spaces. (arXiv:2212.09826v1 [cs.CG]) http://arxiv.org/abs/2212.09826

Detecting causal covariates for extreme dependence structures. (arXiv:2212.09831v1 [stat.ME]) http://arxiv.org/abs/2212.09831

Direct covariance matrix estimation with compositional data. (arXiv:2212.09833v1 [stat.ME]) http://arxiv.org/abs/2212.09833

Counterfactual Risk Assessments under Unmeasured Confounding. (arXiv:2212.09844v1 [econ.EM]) http://arxiv.org/abs/2212.09844

Covariance-on-Covariance Regression. (arXiv:2212.09866v1 [stat.ME]) http://arxiv.org/abs/2212.09866

Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality. (arXiv:2212.09900v1 [cs.LG]) http://arxiv.org/abs/2212.09900

Prognostic Covariate Adjustment for Binary Outcomes Using Stratification. (arXiv:2212.09903v1 [stat.ME]) http://arxiv.org/abs/2212.09903

Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data. (arXiv:2212.08660v1 [cs.LG]) http://arxiv.org/abs/2212.08660

Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach. (arXiv:2212.08697v1 [stat.ME]) http://arxiv.org/abs/2212.08697

Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization. (arXiv:2212.08756v1 [cs.CL]) http://arxiv.org/abs/2212.08756