Latest Articles for Statistics

Extreme brain values provide crucial insights into various mental health disorders.

Learn how feature allocation models aid in studying species diversity and ecological insights.

A new method improves density estimation in irregular spatial domains.

This research simplifies learning directed acyclic graphs from data using convex optimization.

Improved methods for assessing Pareto type-I distribution with censored data.

A look into variable selection methods for complex data analysis.

A look at kernel Kullback-Leibler divergence and its practical applications.

Nonparanormal models provide insights into complex, non-normal data relationships.

This article examines unique arrangements of numbers focusing on records.

Explores how stochastic differential equations enhance data analysis in various fields.

A new framework improves predictions by addressing uncertainty in data.

New algorithms enhance the computation of modified Bessel functions for various applications.

Exploring new methods for analyzing random structures in statistics.

Learn how Matrix Profile detects anomalies in multidimensional time series data.

Innovative approaches enhance cointegration testing using optimization strategies.

A method to enhance simulations using Bayesian ideas and active learning.

Introducing COSCO, a framework enhancing classification accuracy with limited data.

Examining random unitary matrices and their implications in representation theory.

A look into kernel regression's challenges and insights in high-dimensional settings.

A new method enhances the analysis of functional data by accounting for directionality.

Explore the psvmSDR package for efficient variable reduction in data analysis.

Exploring how random walks distribute over time in uniform spaces.

A new method enhances temperature selection for efficient statistical sampling.

UADAPy offers tools for analyzing and visualizing uncertain data effectively.

A new method for improving data comparison using optimal transport.

A look at the ICS technique for analyzing multivariate data.

An overview of optimal sampling methods in least-squares approximation.

Learn how agent-based modeling and random numbers aid health research.

New methods improve signal recovery from noisy data without noise distribution knowledge.

An overview of how random matrices impact various fields in mathematics and physics.

This article discusses methods to improve estimates in case-control studies with imbalanced data.

Learn how differential privacy enhances data analysis while safeguarding personal information.

A new approach for creating causal graphs through expert-statistician collaboration.

A look at probability systems and challenges in averaging outcomes over time.

A new method to improve sampling in complex Bayesian inverse problems.

Discover how adaptive k-NN enhances classification accuracy by adjusting neighbors.

Exploring the significance and applications of low discrepancy sequences across various fields.

A look into methods for accurately estimating covariance matrix distances.

Two new methods improve the analysis of directional data in various fields.

A look into DPPs and their role in selecting diverse item groups.