arXiv Statistics @arxiv_stats@qoto.org

Maximum a posteriori estimators in $\ell^p$ are well-defined for diagonal Gaussian priors. (arXiv:2207.00640v1 [math.ST]) http://arxiv.org/abs/2207.00640

Smooth Pycnophylactic Interpolation Produced by Density-Equalising Map Projections. (arXiv:2207.00663v1 [stat.CO]) http://arxiv.org/abs/2207.00663

Constraining Model Uncertainty in Plasma Equation-of-State Models with a Physics-Constrained Gaussian Process. (arXiv:2207.00668v1 [physics.data-an]) http://arxiv.org/abs/2207.00668

A Comparison of Methods for Adaptive Experimentation. (arXiv:2207.00683v1 [stat.ME]) http://arxiv.org/abs/2207.00683

Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems. (arXiv:2207.00689v1 [stat.ME]) http://arxiv.org/abs/2207.00689

Some Unified Results on Isotonic Regression Estimators of Order Restricted Parameters of a General Bivariate Location/Scale Model. (arXiv:2207.00771v1 [math.ST]) http://arxiv.org/abs/2207.00771

Universal local linear kernel estimators in nonparametric regression. (arXiv:2207.00786v1 [math.ST]) http://arxiv.org/abs/2207.00786

Variational Inference for Additive Main and Multiplicative Interaction Effects Models. (arXiv:2207.00011v1 [stat.ML]) http://arxiv.org/abs/2207.00011

K-ARMA Models for Clustering Time Series Data. (arXiv:2207.00039v1 [stat.ME]) http://arxiv.org/abs/2207.00039

Fast computation of rankings from pairwise comparisons. (arXiv:2207.00076v1 [stat.ML]) http://arxiv.org/abs/2207.00076

A Bayesian 'sandwich' for variance estimation and hypothesis testing. (arXiv:2207.00100v1 [stat.ME]) http://arxiv.org/abs/2207.00100

Discrimination in machine learning algorithms. (arXiv:2207.00108v1 [stat.ML]) http://arxiv.org/abs/2207.00108

Ranking in Contextual Multi-Armed Bandits. (arXiv:2207.00109v1 [stat.ML]) http://arxiv.org/abs/2207.00109

Joint Sequential Detection and Isolation for Dependent Data Streams. (arXiv:2207.00120v1 [math.ST]) http://arxiv.org/abs/2207.00120

Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. (arXiv:2207.00128v1 [cs.LG]) http://arxiv.org/abs/2207.00128

When Does Differentially Private Learning Not Suffer in High Dimensions?. (arXiv:2207.00160v1 [cs.LG]) http://arxiv.org/abs/2207.00160

Non-Parametric Inference of Relational Dependence. (arXiv:2207.00163v1 [stat.ML]) http://arxiv.org/abs/2207.00163

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. (arXiv:2206.14846v1 [cs.LG]) http://arxiv.org/abs/2206.14846

Variable selection in high-dimensional logistic regression models using a whitening approach. (arXiv:2206.14850v1 [stat.ME]) http://arxiv.org/abs/2206.14850

Extracting Information from Stochastic Trajectories of Gene Expression. (arXiv:2206.14874v1 [q-bio.QM]) http://arxiv.org/abs/2206.14874