arXiv Statistics @arxiv_stats@qoto.org

A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial. (arXiv:2204.06657v1 [stat.AP]) http://arxiv.org/abs/2204.06657

Second Order Regret Bounds Against Generalized Expert Sequences under Partial Bandit Feedback. (arXiv:2204.06660v1 [cs.LG]) http://arxiv.org/abs/2204.06660

Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms. (arXiv:2204.06664v1 [stat.ML]) http://arxiv.org/abs/2204.06664

Designing Experiments Toward Shrinkage Estimation. (arXiv:2204.06687v1 [stat.ME]) http://arxiv.org/abs/2204.06687

A new avenue for Bayesian inference with INLA. (arXiv:2204.06797v1 [stat.ME]) http://arxiv.org/abs/2204.06797

Program Analysis of Probabilistic Programs. (arXiv:2204.06868v1 [cs.PL]) http://arxiv.org/abs/2204.06868

Optimized Population Monte Carlo. (arXiv:2204.06891v1 [stat.CO]) http://arxiv.org/abs/2204.06891

Variable importance measures for heterogeneous causal effects. (arXiv:2204.06030v1 [stat.ME]) http://arxiv.org/abs/2204.06030

Evolutionary shift detection with ensemble variable selection. (arXiv:2204.06032v1 [q-bio.PE]) http://arxiv.org/abs/2204.06032

The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms. (arXiv:2204.06043v1 [stat.CO]) http://arxiv.org/abs/2204.06043

Bayes factors and posterior estimation: Two sides of the very same coin. (arXiv:2204.06054v1 [math.ST]) http://arxiv.org/abs/2204.06054

Specifying Prior Distributions in Reliability Applications. (arXiv:2204.06099v1 [stat.ME]) http://arxiv.org/abs/2204.06099

SRMD: Sparse Random Mode Decomposition. (arXiv:2204.06108v1 [eess.SP]) http://arxiv.org/abs/2204.06108

Analysing and visualising bike sharing demand with outliers. (arXiv:2204.06112v1 [stat.AP]) http://arxiv.org/abs/2204.06112

Practical considerations for specifying a super learner. (arXiv:2204.06139v1 [stat.ME]) http://arxiv.org/abs/2204.06139

A quantum generative model for multi-dimensional time series using Hamiltonian learning. (arXiv:2204.06150v1 [quant-ph]) http://arxiv.org/abs/2204.06150

A Study on the Power Parameter in Power Prior Bayesian Analysis. (arXiv:2204.06165v1 [stat.ME]) http://arxiv.org/abs/2204.06165

Causal Discovery and Causal Learning for Fire Resistance Evaluation: Incorporating Domain Knowledge. (arXiv:2204.05311v1 [cs.LG]) http://arxiv.org/abs/2204.05311

Six Statistical Senses. (arXiv:2204.05313v1 [stat.OT]) http://arxiv.org/abs/2204.05313

Identifying the Dynamics of a System by Leveraging Data from Similar Systems. (arXiv:2204.05446v1 [eess.SY]) http://arxiv.org/abs/2204.05446