arXiv Statistics @arxiv_stats@qoto.org

Scalable Gaussian-process regression and variable selection using Vecchia approximations. (arXiv:2202.12981v1 [stat.ME]) http://arxiv.org/abs/2202.12981

Flexible variable selection in the presence of missing data. (arXiv:2202.12989v1 [stat.ME]) http://arxiv.org/abs/2202.12989

Robust Estimation of Loss Models for Truncated and Censored Severity Data. (arXiv:2202.13000v1 [stat.ME]) http://arxiv.org/abs/2202.13000

Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms. (arXiv:2202.13001v1 [cs.LG]) http://arxiv.org/abs/2202.13001

Sign and Basis Invariant Networks for Spectral Graph Representation Learning. (arXiv:2202.13013v1 [cs.LG]) http://arxiv.org/abs/2202.13013

Missing Value Knockoffs. (arXiv:2202.13054v1 [stat.ML]) http://arxiv.org/abs/2202.13054

Variational Inference with Gaussian Mixture by Entropy Approximation. (arXiv:2202.13059v1 [stat.ML]) http://arxiv.org/abs/2202.13059

Flexible multivariate spatio-temporal Hawkes process models of terrorism. (arXiv:2202.12346v1 [stat.ME]) http://arxiv.org/abs/2202.12346

Multiple multi-sample testing under arbitrary covariance dependency. (arXiv:2202.12347v1 [stat.ME]) http://arxiv.org/abs/2202.12347

Bayesian Deep Learning for Graphs. (arXiv:2202.12348v1 [cs.LG]) http://arxiv.org/abs/2202.12348

Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling. (arXiv:2202.12352v1 [stat.ME]) http://arxiv.org/abs/2202.12352

Estimators of Entropy and Information via Inference in Probabilistic Models. (arXiv:2202.12363v1 [stat.ML]) http://arxiv.org/abs/2202.12363

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. (arXiv:2202.12387v1 [cs.LG]) http://arxiv.org/abs/2202.12387

Detecting change-points in noisy GPS time series with continuous piecewise structures. (arXiv:2202.12414v1 [stat.AP]) http://arxiv.org/abs/2202.12414

A Sensitivity analysis approach for the causal hazard ratio in randomized and observational studies. (arXiv:2202.12420v1 [stat.ME]) http://arxiv.org/abs/2202.12420

Thompson Sampling with Unrestricted Delays. (arXiv:2202.12431v1 [cs.LG]) http://arxiv.org/abs/2202.12431

Learning Invariant Weights in Neural Networks. (arXiv:2202.12439v1 [stat.ML]) http://arxiv.org/abs/2202.12439

Truncated LinUCB for Stochastic Linear Bandits. (arXiv:2202.11735v1 [stat.ML]) http://arxiv.org/abs/2202.11735

Revisiting the Cumulative Incidence Function With Competing Risks Data. (arXiv:2202.11743v1 [stat.ME]) http://arxiv.org/abs/2202.11743

Statistical Inference for Functional Linear Quantile Regression. (arXiv:2202.11747v1 [math.ST]) http://arxiv.org/abs/2202.11747