Latest Articles for Statistics

A new method enhances variational inference efficiency and accuracy.

PORTSEA advances extreme value statistics, influencing various fields and education.

An overview of entropy's role in analyzing log-concave random vectors.

New methods reveal community structures in networks, enhancing insights in various fields.

A study on estimating mining power uncertainties in blockchain systems.

GROS combines multiple estimators for improved accuracy in data analysis.

Examining connections between random matrices and number theory through L-functions.

A new method improves causal learning despite missing data and cyclical relationships.

Introducing a method to enhance significance testing in regression analysis.

Exploring the formation and behavior of clusters in a two-dimensional slab.

Analyzing the significance of compensated weighted sums in mathematical models of randomness.

A new model for analyzing integer-valued time series data is proposed.

Learn about new methods for making statistical inferences on Proportion of Variance Explained.

GUDR enhances UDR for better accuracy in uncertainty quantification.

This article examines how missing numbers affect sumsets in random collections.

A novel method using Fourier transforms for better data moment estimation.

A fresh approach to p-values improves evidence assessment in statistical research.

A new method for analyzing centrality and outlyingness in non-standard datasets.

Learn how matrix denoising can improve data quality in various fields.

A look into evasion numbers and how they interact with soft-linked posets.

A new method reduces data needs for accurate logistic regression predictions.

A method for generating synthetic data using Bayesian networks to protect privacy while allowing analysis.

Introducing a flexible method to assess INAR model fit without strict assumptions.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

Exploring the significance of random matrices in science and mathematics.

A look into how eigenvalues of random matrices exhibit unique patterns and properties.

BGWSR improves predictions in spatial data analysis using innovative statistical methods.

A new method for identifying changes in compositional time series data.

Examining new developments in the Ratios Conjecture and L-functions in number theory.

Introducing VOROS, a method for improving classifier performance assessment in imbalanced scenarios.

A new method for analyzing count time series, focusing on autocorrelation issues.

A method to tackle unobserved variables in research for clearer insights.

Exploring the mixing properties of Markov chains influenced by randomness.

A new approach to combine data from separate biological measurements.

A new method improves uncertainty estimation in statistical models.

A new approach to make high-dimensional data easier to manage.

A look into how particles spread in various systems.

A new method to tackle large-scale trace ratio issues in classification tasks.

A clear guide to point processes and their role in optimal transport.

Exploring robust optimization methods for uncertain data in decision-making.