arXiv Statistics @arxiv_stats@qoto.org

A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario. (arXiv:2110.08331v1 [cs.LG]) http://arxiv.org/abs/2110.08331

Estimating individual admixture from finite reference databases. (arXiv:2110.08348v1 [q-bio.PE]) http://arxiv.org/abs/2110.08348

Spatio-temporal extreme event modeling of terror insurgencies. (arXiv:2110.08363v1 [stat.AP]) http://arxiv.org/abs/2110.08363

Covariate Adjustment in Regression Discontinuity Designs. (arXiv:2110.08410v1 [stat.ME]) http://arxiv.org/abs/2110.08410

Multi-group Gaussian Processes. (arXiv:2110.08411v1 [stat.ME]) http://arxiv.org/abs/2110.08411

Nuances in Margin Conditions Determine Gains in Active Learning. (arXiv:2110.08418v1 [stat.ML]) http://arxiv.org/abs/2110.08418

Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials. (arXiv:2110.08425v1 [stat.ME]) http://arxiv.org/abs/2110.08425

Adversarial Attacks on Gaussian Process Bandits. (arXiv:2110.08449v1 [stat.ML]) http://arxiv.org/abs/2110.08449

On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs. (arXiv:2110.08500v1 [stat.ML]) http://arxiv.org/abs/2110.08500

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach. (arXiv:2110.08505v1 [stat.ML]) http://arxiv.org/abs/2110.08505

Sparse Implicit Processes for Approximate Inference. (arXiv:2110.07618v1 [stat.ML]) http://arxiv.org/abs/2110.07618

A Distribution-Free Independence Test for High Dimension Data. (arXiv:2110.07652v1 [stat.ME]) http://arxiv.org/abs/2110.07652

Algorithms for Sparse Support Vector Machines. (arXiv:2110.07691v1 [stat.ME]) http://arxiv.org/abs/2110.07691

Model-Change Active Learning in Graph-Based Semi-Supervised Learning. (arXiv:2110.07739v1 [stat.ML]) http://arxiv.org/abs/2110.07739

More Efficient, Doubly Robust, Nonparametric Estimators of Treatment Effects in Multilevel Studies. (arXiv:2110.07740v1 [stat.ME]) http://arxiv.org/abs/2110.07740

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. (arXiv:2110.07751v1 [cs.LG]) http://arxiv.org/abs/2110.07751

Learning Mean-Field Equations from Particle Data Using WSINDy. (arXiv:2110.07756v1 [stat.ML]) http://arxiv.org/abs/2110.07756

Areas on the space of smooth probability density functions on $S^2$. (arXiv:2110.07773v1 [math.SG]) http://arxiv.org/abs/2110.07773

Scalable Causal Structure Learning: New Opportunities in Biomedicine. (arXiv:2110.07785v1 [cs.LG]) http://arxiv.org/abs/2110.07785

Gaussian Process Bandit Optimization with Few Batches. (arXiv:2110.07788v1 [stat.ML]) http://arxiv.org/abs/2110.07788