Latest Articles for Statistics

A new method improves prediction reliability using multiple data views.

Combining fuzzy logic with causal inference for better real-world analysis.

A detailed look at Sibson's -mutual information and its multifaceted applications.

Learn how Bayesian inference enhances neural networks and decision-making.

A new method for estimating edge density in random graphs while ensuring privacy.

FAMAR simplifies complex data analysis by focusing on key underlying factors.

A look at how covariate adjustment clarifies research findings by managing confounding variables.

Learn how probabilistic programming helps analyze uncertainty in data.

A novel approach to measure dependencies in extreme data sets across various fields.

Innovative sampling technique tackles challenges in complex distributions for machine learning.

This article presents a fresh perspective on analyzing Markov chains through distribution transformers.

Explore the relationship between dynamical systems and slow entropy.

Learn how element-free distributions streamline analysis and improve data organization.

A new measure of dissimilarity improves transfer learning in varied data distributions.

A new framework improves clustering accuracy for event data with outliers.

A new method enhances covariance estimation in Gaussian processes with adaptive thresholding.

Exploring mathematical frameworks for understanding mass movement in various systems.

Enhancing clarity and accuracy in health research findings through better statistical practices.

A look into how polyominoes interact and develop through various processes.

Examining spatial data patterns and their information content.

Exploring classification methods for overlapping Gaussian mixtures in machine learning.

A new method improves how we model complex systems with simple equations.

A novel method enhances data distribution analysis across multiple categories.

Data balancing is crucial for fairness and accuracy in machine learning models.

New algorithms for extracting signals from complex noise scenarios.

This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.

A new method for classification using hypergraphs improves data categorization accuracy.

This paper enhances CCA using reduced rank regression for high-dimensional datasets.

Explore methods for handling sparse high-dimensional data in regression analysis.

This study introduces a novel approach to dimension reduction using semi-relaxed Gromov-Wasserstein distance.

A new method improves variational inference for complex data relationships.

New software simplifies analysis of complexity measures in time series data.

A look into methods for analyzing complex geometric shapes.

A method allowing adaptive statistical analysis without rigid model assumptions.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

GMR offers a fresh approach to studying multiple factors and outcomes in research.

A new method improves covariance matrix estimation without strict assumptions.

This article discusses creating reliable hypothesis tests despite data corruption.

An overview of decision-making under uncertainty with the streaming model.

Learn how Bayesian online learning adapts models with incoming data.