Latest Articles for Statistics

A method to measure fairness and uncertainty in decision-making processes.

A new approach to enhancing prediction accuracy amidst data uncertainty.

Analyzing how to estimate null hypotheses in dependent statistical tests.

Combining deep learning with Bayesian inference for efficient posterior estimation.

New methods enhance efficiency in sampling log-concave distributions within polytopes.

Examining issues and solutions in estimating expected points for player evaluation.

A look at better methods for evaluating treatment effects in research.

Introducing an unbiased estimator for better variance estimation in Mann-Whitney test.

New models improve understanding of evolutionary relationships among species.

This article explores how monotone paths interact with Markov chains and their implications.

This research explores efficient learning of Markov Random Fields using dynamic samples.

A look into the dynamics of particle interactions and their implications.

Learn how to estimate values accurately from incomplete datasets.

Exploring matrix factorization methods in data distributed across clients.

Exploring new methods for estimating averages in the presence of outliers.

A guide to uniform estimation and inference methods in nonparametric statistics.

Examining strategies for improving feature learning in imbalanced datasets.

Recent findings challenge the 30-observation standard in regression studies.

A look at total variation distance and its significance in probability distributions.

E2Tree enhances explainability in ensemble models, improving insights into decision-making processes.

Explore how fusions enhance probability distributions and decision-making.

Exploring the difficulties of optimizing nonsmooth nonconvex functions and local algorithm limitations.

A new approach to handle data with outliers efficiently.

Explore RKHS and its role in mathematical function approximation.

A new method enhances analysis by focusing on individual data cells.

A new method improves image reconstruction in noisy medical data.

Introducing arbitrarily finely divisible matrices for better understanding of stochastic processes.

A guide on clustering binned data using Bayesian nonparametric methods.

An overview of weighted walks and their implications in various fields.

A new method to explore interactions between different types of data.

Innovative approaches enhance statistical testing accuracy with incomplete data.

Local sampling offers a new way to handle complex data efficiently.

Examining the properties and applications of super-tree random measures in various fields.

This study examines transportation costs involving random points and advanced mathematical techniques.

New algorithms improve efficiency in solving sparsity-related problems.

A look into Stochastic Gradient Descent and its role in optimization.

A look into logarithmic aging processes in materials and biological systems.

A look at the discrete Gaussian and its applications in various fields.

This article explores intransitivity and its impact on decision-making in various fields.

A new method to analyze multiple class outcomes using variable importance measures.