arXiv Statistics @arxiv_stats@qoto.org

Reproducing Kernels and New Approaches in Compositional Data Analysis. (arXiv:2205.01158v1 [stat.ML]) http://arxiv.org/abs/2205.01158

COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. (arXiv:2205.01224v1 [cs.LG]) http://arxiv.org/abs/2205.01224

Material Facts Obscured in Hansen's Modern Gauss-Markov Theorem. (arXiv:2205.01238v1 [stat.ME]) http://arxiv.org/abs/2205.01238

Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices. (arXiv:2205.01246v1 [econ.EM]) http://arxiv.org/abs/2205.01246

Norm-Agnostic Linear Bandits. (arXiv:2205.01257v1 [stat.ML]) http://arxiv.org/abs/2205.01257

Complementary Goodness of Fit Procedure for Crash Frequency Models. (arXiv:2205.01279v1 [stat.AP]) http://arxiv.org/abs/2205.01279

A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures. (arXiv:2205.01281v1 [stat.ME]) http://arxiv.org/abs/2205.01281

A Flexible Approach for Predictive Biomarker Discovery. (arXiv:2205.01285v1 [stat.ME]) http://arxiv.org/abs/2205.01285

An R Package AZIAD for Analyzing Zero-Inflated and Zero-Altered Data. (arXiv:2205.01294v1 [stat.CO]) http://arxiv.org/abs/2205.01294

Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation. (arXiv:2205.00007v1 [stat.ML]) http://arxiv.org/abs/2205.00007

Tail Adversarial Stability for Regularly Varying Linear Processes and their Extensions. (arXiv:2205.00043v1 [math.ST]) http://arxiv.org/abs/2205.00043

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. (arXiv:2205.00058v1 [stat.ML]) http://arxiv.org/abs/2205.00058

The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. (arXiv:2205.00061v1 [stat.ML]) http://arxiv.org/abs/2205.00061

Bayesian Benefit Risk Analysis. (arXiv:2205.00093v1 [stat.ME]) http://arxiv.org/abs/2205.00093

On Unspanned Latent Risks in Dynamic Term Structure Models. (arXiv:2205.00098v1 [stat.AP]) http://arxiv.org/abs/2205.00098

Nonlinear Least Squares Estimator for Discretely Observed Reflected Stochastic Processes. (arXiv:2205.00139v1 [math.ST]) http://arxiv.org/abs/2205.00139

Nadaraya-Watson estimator for reflected stochastic processes driven by Brownian motions. (arXiv:2205.00141v1 [math.ST]) http://arxiv.org/abs/2205.00141

Nonparametric Estimation for Stochastic Differential Equations Driven by Fractional Brownian Motion. (arXiv:2205.00144v1 [math.ST]) http://arxiv.org/abs/2205.00144

To Know by the Company Words Keep and What Else Lies in the Vicinity. (arXiv:2205.00148v1 [cs.CL]) http://arxiv.org/abs/2205.00148

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. (arXiv:2204.13753v1 [cs.LG]) http://arxiv.org/abs/2204.13753