arXiv Statistics @arxiv_stats@qoto.org

Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring. (arXiv:2109.14666v1 [stat.ME]) http://arxiv.org/abs/2109.14666

Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis. (arXiv:2109.14677v1 [stat.ME]) http://arxiv.org/abs/2109.14677

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. (arXiv:2109.14688v1 [cs.LG]) http://arxiv.org/abs/2109.14688

Sequential Estimation under Multiple Resources: a Bandit Point of View. (arXiv:2109.14703v1 [cs.LG]) http://arxiv.org/abs/2109.14703

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. (arXiv:2109.14719v1 [cs.LG]) http://arxiv.org/abs/2109.14719

Kernel distance measures for time series, random fields and other structured data. (arXiv:2109.14752v1 [stat.ML]) http://arxiv.org/abs/2109.14752

A Fast Detection Method of Break Points in Effective Connectivity Networks. (arXiv:2109.14769v1 [stat.ME]) http://arxiv.org/abs/2109.14769

Use of primary decomposition of polynomial ideals arising from indicator functions to enumerate orthogonal fractions. (arXiv:2109.14777v1 [stat.CO]) http://arxiv.org/abs/2109.14777

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models. (arXiv:2109.14783v1 [stat.ME]) http://arxiv.org/abs/2109.14783

Guided Probabilistic Simulation of Complex Systems Toward Rare and Extreme Events. (arXiv:2109.13966v1 [eess.SY]) http://arxiv.org/abs/2109.13966

Constructing Prediction Intervals Using the Likelihood Ratio Statistic. (arXiv:2109.13970v1 [stat.ME]) http://arxiv.org/abs/2109.13970

Forecasting the vaccine uptake rate: An infodemiological study in the US. (arXiv:2109.13971v1 [stat.AP]) http://arxiv.org/abs/2109.13971

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes. (arXiv:2109.14001v1 [stat.AP]) http://arxiv.org/abs/2109.14001

slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks. (arXiv:2109.14002v1 [cs.LG]) http://arxiv.org/abs/2109.14002

Statistical methods for modeling spatially-referenced paired genetic relatedness data. (arXiv:2109.14003v1 [stat.ME]) http://arxiv.org/abs/2109.14003

Parameter Shrinkage Estimation of Reading Count Data Models. (arXiv:2109.14010v1 [stat.ME]) http://arxiv.org/abs/2109.14010

The AUGUST Two-Sample Test: Powerful, Interpretable, and Fast. (arXiv:2109.14013v1 [stat.ME]) http://arxiv.org/abs/2109.14013

Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. (arXiv:2109.14046v1 [stat.ML]) http://arxiv.org/abs/2109.14046

Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials. (arXiv:2109.14048v1 [stat.ME]) http://arxiv.org/abs/2109.14048

Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. (arXiv:2109.13232v1 [stat.ML]) http://arxiv.org/abs/2109.13232