arXiv Statistics @arxiv_stats@qoto.org

L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy na\"ive breast cancer patients. (arXiv:2108.10365v1 [cs.LG]) http://arxiv.org/abs/2108.10365

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. (arXiv:2108.10411v1 [cs.LG]) http://arxiv.org/abs/2108.10411

Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF). (arXiv:2108.10453v1 [stat.ML]) http://arxiv.org/abs/2108.10453

Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints. (arXiv:2108.10472v1 [stat.ME]) http://arxiv.org/abs/2108.10472

Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball. (arXiv:2108.10517v1 [stat.ME]) http://arxiv.org/abs/2108.10517

sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. (arXiv:2108.10566v1 [cs.LG]) http://arxiv.org/abs/2108.10566

The staircase property: How hierarchical structure can guide deep learning. (arXiv:2108.10573v1 [cs.LG]) http://arxiv.org/abs/2108.10573

A 2-stage elastic net algorithm for estimation of sparse networks with heavy tailed data. (arXiv:2108.10583v1 [stat.ME]) http://arxiv.org/abs/2108.10583

State estimation for aoristic models. (arXiv:2108.10584v1 [math.ST]) http://arxiv.org/abs/2108.10584

Regression Discontinuity Designs. (arXiv:2108.09400v1 [econ.EM]) http://arxiv.org/abs/2108.09400

Fast Sketching of Polynomial Kernels of Polynomial Degree. (arXiv:2108.09420v1 [cs.DS]) http://arxiv.org/abs/2108.09420

Equivariant Variance Estimation for Multiple Change-point Model. (arXiv:2108.09431v1 [stat.ME]) http://arxiv.org/abs/2108.09431

A Maximum Entropy Copula Model for Mixed Data: Representation, Estimation, and Applications. (arXiv:2108.09438v1 [math.ST]) http://arxiv.org/abs/2108.09438

Post-Processed Posteriors for Sparse Covariances and Its Application to Global Minimum Variance Portfolio. (arXiv:2108.09462v1 [math.ST]) http://arxiv.org/abs/2108.09462

Beyond Linear Algebra. (arXiv:2108.09494v1 [math.AG]) http://arxiv.org/abs/2108.09494

A computational study on imputation methods for missing environmental data. (arXiv:2108.09500v1 [cs.DB]) http://arxiv.org/abs/2108.09500

A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data. (arXiv:2108.09501v1 [cs.LG]) http://arxiv.org/abs/2108.09501

A Sparse Random Graph Model for Sparse Directed Networks. (arXiv:2108.09504v1 [math.ST]) http://arxiv.org/abs/2108.09504

How Can Increased Randomness in Stochastic Gradient Descent Improve Generalization?. (arXiv:2108.09507v1 [stat.ML]) http://arxiv.org/abs/2108.09507

Structure Learning for Directed Trees. (arXiv:2108.08871v1 [stat.ML]) http://arxiv.org/abs/2108.08871