Latest Articles for Statistics

Examining online multiclass classification with set-valued feedback and its implications.

Examining the impacts of federated learning on model generalization and data privacy.

New method improves predictions by considering multiple expert scores.

This method enhances outlier detection using a multi-stage process.

A new method improves factor selection in high-dimensional data.

This study improves semiparametric inference using posterior corrections for better estimates.

Exploring new methods to enhance understanding of random variables and their applications.

A method combining networks with linear regression enhances predictions in complex datasets.

A new method improves gene tree analysis through tropical geometry.

New methods enhance causal effect estimation from observational and interventional data.

Examining how nonlinear transformations improve ridge estimation in high-dimensional data.

Learn how insurance companies evaluate financial risk and manage premiums versus claims.

A look into the properties and spectrum of transposition graphs.

New methods for analyzing sensitive data while ensuring individual privacy.

Randomized methods provide effective solutions for least squares challenges without full data access.

Learn how to detect collinearity for accurate data analysis.

A study on methods for finding hidden data blocks in random matrices.

Learn about a method that speeds up predictions while keeping data safe.

Introducing a flexible model for better analysis of varied count data.

A new method reveals insights into brain connections and their relationship with sleep.

Learn how multilevel estimators improve accuracy in forecasting through data combination.

A new approach improves weight distribution estimation in Bayesian neural networks.

Exploring the relationships among exchangeable random variables through the Aldous-Hoover Theorem.

A look at the breakdown of whole numbers into sums of smaller integers.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

Jacobi functions are vital in solving complex mathematical and physical problems.

A look into the meaning and history of randomization tests in statistics.

An analysis of rational points on geometric varieties.

Research enhances SVAEs for better data handling and interpretability.

A new method to find hidden influences in complex data relationships.

A new model enhances understanding of complex cellular behaviors through advanced data analysis.

MMD-FUSE enhances two-sample testing through improved kernel selection and adaptive methods.

Exploring random arrangements through recursive separable permutations and their unique properties.

A novel approach to analyze non-Gaussian data using RFLVM.

New methodology boosts Bayesian trial efficiency and decision-making.

A method to identify changes in time series data across various fields.

This article explains how uncertainty impacts measurements in particle physics.

Efficiently detect anomalies without labeled data using nonlinear manifold learning.

A look into the Karpelevic region and its significance in stochastic matrices.

A look into improving distribution approximations using moments and spectral properties.