Latest Articles for Statistics

Exploring connections in algebra and geometry via Hurwitz spaces.

This article discusses strategies to reduce communication in distributed regression problems.

Explore patterns in time series data using the martingale difference hypothesis.

Learn how conditional mixing enhances MCMC sampling for complex distributions.

A look into the properties of the -Sun density and its applications.

A comprehensive look at the behavior of averages in statistics and probability.

Explore new bounds for sums of dependent random vectors in high dimensions.

A new method for improving linear regression accuracy amid data variability.

Effective methods to handle missing data and ensure reliable research findings.

Kernel t-SNE improves data visualization by preserving relationships in complex datasets.

This article explores hitting probabilities related to fractional Brownian motion in various fields.

A look at the shapes formed by random polynomials and their connections.

WGR enhances regression techniques for better outcome predictions.

An overview of fractional Brownian motion and its applications in various fields.

Learn how to choose predictive models effectively using Bayesian inference.

This article examines how unexpected events influence mortality rates over time.

Explore how Fisher information quantifies uncertainty across various scientific fields.

Exploring the role of PDMP and coupling in improving statistical sampling methods.

Introducing a flexible method for efficient sampling in complex distributions.

Examining the role of information projections in hypothesis testing.

A method for discovering groups in labeled datasets with decision trees.

A closer look at GBMDS and its advantages for complex data analysis.

Exploring how biological systems process information through Bayesian inference.

Learn how MOPED improves model comparison through efficient data compression in astronomical research.

Examining the role of weakly dependent random fields in various applications.

Learn about modes and their significance in data analysis.

Learn how to enhance mean estimates using Fisher Information and innovative techniques.

SEL improves data features for better machine learning performance.

Explore how statistical games improve approximate inference in data analysis.

A new technique improves filling in missing data for better analysis.

Study explores behavior of probability measures and reproducing kernels on the unit circle.

Combining linear models with deep learning for improved event timing estimates.

FLAG improves estimation of precision matrices in complex systems without strict assumptions.

Exploring the significance of negative binomial processes in probability theory.

A look into detection and recovery in complex networks.

New techniques enhance efficiency and accuracy in experimental design using Bayesian methods.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

Explore how DPPs function and their significance in various fields.

A method to enhance linear regression estimates in high-dimensional settings.

A fresh method for better data analysis in complex datasets.