arXiv Statistics @arxiv_stats@qoto.org

Conformal testing: binary case with Markov alternatives. (arXiv:2111.01885v1 [math.ST]) http://arxiv.org/abs/2111.01885

Comparison of Time-to-First-Event and Recurrent Event Methods in Multiple Sclerosis Trials. (arXiv:2111.01937v1 [stat.AP]) http://arxiv.org/abs/2111.01937

Duality for Continuous Graphical Models. (arXiv:2111.01938v1 [stat.ME]) http://arxiv.org/abs/2111.01938

Discrete Bilal distribution with right-censored data. (arXiv:2111.01943v1 [stat.ME]) http://arxiv.org/abs/2111.01943

Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study. (arXiv:2111.01961v1 [q-bio.NC]) http://arxiv.org/abs/2111.01961

Scalable mixed-domain Gaussian processes. (arXiv:2111.02019v1 [stat.CO]) http://arxiv.org/abs/2111.02019

Noise Inference For Ergodic L\'evy Driven SDE. (arXiv:2111.02049v1 [stat.ME]) http://arxiv.org/abs/2111.02049

Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations. (arXiv:2111.01131v1 [cs.HC]) http://arxiv.org/abs/2111.01131

Investigating the locality of neural network training dynamics. (arXiv:2111.01166v1 [cs.LG]) http://arxiv.org/abs/2111.01166

Kernel Deformed Exponential Families for Sparse Continuous Attention. (arXiv:2111.01222v1 [cs.LG]) http://arxiv.org/abs/2111.01222

A framework for causal segmentation analysis with machine learning in large-scale digital experiments. (arXiv:2111.01223v1 [stat.ME]) http://arxiv.org/abs/2111.01223

A robust partial least squares approach for function-on-function regression. (arXiv:2111.01238v1 [stat.ME]) http://arxiv.org/abs/2111.01238

Minimax Optimization: The Case of Convex-Submodular. (arXiv:2111.01262v1 [math.OC]) http://arxiv.org/abs/2111.01262

Computing with R-INLA: Accuracy and reproducibility with implications for the analysis of COVID-19 data. (arXiv:2111.01285v1 [stat.AP]) http://arxiv.org/abs/2111.01285

Asymptotic in a class of network models with sub-Gamma perturbations. (arXiv:2111.01301v1 [math.ST]) http://arxiv.org/abs/2111.01301

BayesDLMfMRI: Bayesian Matrix-Variate Dynamic Linear Models for Task-based fRMI Modeling in R. (arXiv:2111.01318v1 [stat.AP]) http://arxiv.org/abs/2111.01318

Dynamic statistical inference in massive datastreams. (arXiv:2111.01339v1 [stat.ME]) http://arxiv.org/abs/2111.01339

Pearson Chi-squared Conditional Randomization Test. (arXiv:2111.00027v1 [stat.ME]) http://arxiv.org/abs/2111.00027

Parallel-and-stream accelerator for computationally fast supervised learning. (arXiv:2111.00032v1 [stat.CO]) http://arxiv.org/abs/2111.00032

Neural Networks as Kernel Learners: The Silent Alignment Effect. (arXiv:2111.00034v1 [stat.ML]) http://arxiv.org/abs/2111.00034