Stochastic online convex optimization. Application to probabilistic time series forecasting

2024-1-1

Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models

2024-1-1

Reproducible parameter inference using bagged posteriors

2024-1-1

On variance estimation of random forests with Infinite-order U-statistics

2024-1-1

Direct Bayesian linear regression for distribution-valued covariates

2024-1-1

Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting

2024-1-1

Efficient change point detection and estimation in high-dimensional correlation matrices

2024-1-1

Gaussian random fields on the product of spheres: Theory and applications

2024-1-1

Large-sample properties of non-stationary source separation for Gaussian signals

2024-1-1

Precision matrix estimation under the horseshoe-like prior–penalty dual

2024-1-1

Post-selection inference for e-value based confidence intervals

2024-1-1

Differentially private confidence intervals for proportions under stratified random sampling

2024-1-1

Adaptive randomization in network data

2024-1-1

Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions

2024-1-1

Adaptive procedures for directional false discovery rate control

2024-1-1

Direct covariance matrix estimation with compositional data

2024-1-1

Efficient estimation in tensor Curie-Weiss and Erdős-Rényi Ising models

2024-1-1

Exponential family trend filtering on lattices

2024-1-1

Limit theorems for non-degenerate U-statistics of block maxima for time series

2024-1-1

Classification by sparse generalized additive models

2024-1-1

Two-sample and change-point inference for non-Euclidean valued time series

2024-1-1

Limit theorems for entropic optimal transport maps and Sinkhorn divergence

2024-1-1

Generating knockoffs via conditional independence

2024-1-1

Predictive densities for multivariate normal models based on extended models and shrinkage Bayes methods

2024-1-1

Random permutations generated by delay models and estimation of delay distributions

2024-1-1

High-dimensional functional graphical model structure learning via neighborhood selection approach

2024-1-1

A two-sample comparison of mean survival times of uncured subpopulations

2024-1-1

Selecting strong orthogonal arrays by linear allowable level permutations

2024-1-1

Copula-like inference for discrete bivariate distributions with rectangular supports

2024-1-1

High-dimensional undirected graphical models for arbitrary mixed data

2024-1-1

Multi-label residual weighted learning for individualized combination treatment rule

2024-1-1

Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression

2024-1-1

Turning the information-sharing dial: Efficient inference from different data sources

2024-1-1

Analysis of the rate of convergence of two regression estimates defined by neural features which are easy to implement

2024-1-1

Smooth test for equality of copulas

2024-1-1

High–dimensional local linear regression under sparsity and convex losses

2024-1-1

Multivariate strong invariance principles in Markov chain Monte Carlo

2024-1-1

Optimal weighting for linear inverse problems

2024-1-1

Projection inference for high-dimensional covariance matrices with structured shrinkage targets

2024-1-1

Covariance estimation under missing observations and L4−L2 moment equivalence

2024-1-1

A note on the equivalence between the conditional uncorrelation and the independence of random variables

2024-1-1

Off-the-grid prediction and testing for linear combination of translated features

2024-1-1

A (tight) upper bound for the length of confidence intervals with conditional coverage

2024-1-1

A functional nonlinear mixed effects modeling framework for longitudinal functional responses

2024-1-1

Robust inference in AR-G/GARCH models under model uncertainty

2024-1-1

Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance

2024-1-1

Multiclass classification for multidimensional functional data through deep neural networks

2024-1-1

Intrinsic and extrinsic deep learning on manifolds

2024-1-1

Penalized estimation of panel count data using generalized estimating equation

2024-1-1

Transportation-based functional ANOVA and PCA for covariance operators

2024-1-1