Latest Articles for Statistics

A new method to explore periodic behaviors in datasets over time.

This study assesses summary statistics' effectiveness using mutual information in cosmic research.

Learn how to manage tail risk using Conditional Value-at-Risk and Importance Sampling techniques.

A detailed look into how excess mortality is calculated and its implications.

Federated Learning enhances statistical accuracy while protecting individual privacy in data collection.

This article presents a new method for predicting outcomes based on data factors.

A look into the properties and complexities of Gaussian random polytopes.

An overview of bootstrapping in statistical analysis of time series data.

A method to enhance target positioning despite unreliable measurements.

A look at new inequalities relating Cauchy-Schwarz and triangle inequalities in metric spaces.

Examining trace distribution of random matrices over finite fields.

Learn how contextual bandits adapt to changing rewards for better decision-making.

Research introduces models for analyzing Gaussian distributions using the Wasserstein metric.

Researchers analyze the Riemann zeta function and its connection to prime numbers.

New methods enhance control of false discovery rate in binary data analysis.

A look at how data cohesion improves analysis and clustering.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

A new method improves tensor completion using adaptive sampling strategies.

New hypothesis test improves understanding of Bayesian Networks and their complexities.

Explore how lattice Lipschitz operators help approximate complex functions.

A new approach enhances analysis efficiency for large datasets using the subsampled residual bootstrap.

Learn how Bayes' Theorem helps manage uncertainty in decision-making.

A look at how valuations relate and their roles in various fields.

An overview of rough SPDEs and their significance in various fields.

A new method for comparing different data sets effectively.

A novel approach to simplify variable impact analysis in complex datasets.

A new Python package simplifies downsampling large time series datasets for better visualization.

A new method improves the efficiency of variational inference through score matching.

A new method improves Bayesian neural networks for generalization and uncertainty estimation.

A look at how entropy regularization enhances multi-marginal optimal transport methods.

DART enhances time-to-event prediction using deep learning techniques.

A new approach using random methods improves finding solutions with constraints.

This study evaluates differences in facial recognition accuracy among various groups of raters.

CTMVA modifies traditional techniques to analyze continuous data effectively.

A new method enhances support estimation in time series analysis.

A new method enhances comparisons of scalar fields using merged techniques.

How variability affects average estimates in line graphs.

A Bayesian framework improves accuracy in analyzing protein levels in biological studies.

Exploring the role of random matrices in statistical modeling and covariance estimation errors.

A new approach to enhance data privacy while minimizing communication costs.