Latest Articles for Statistics

Exploring particle behavior and optimization in complex systems.

A look into how GCMMs improve data analysis for complex relationships.

Learn how LPM improves sampling accuracy in research and analysis.

Discover how polymer chain length affects the strength of materials.

A look at negative association and correlation in random variables.

A study on regression models for understanding shapes in neuroscience.

Laplace transforms simplify complex problems across various fields like engineering and physics.

Exploring how different states in quantum systems can inform and transform each other.

A method to improve entropy estimates in high-dimensional data analysis.

A look at Kolmogorov equations and their significance in understanding complex systems.

A deep look into the Robbins-Monro method in statistics and optimization.

Research explores how cutting shapes provides insights into their original sizes.

Learn how corrected Poisson approximations enhance modeling of independent events.

Learn about methods improving evidence estimation in Bayesian inference.

A practical guide to the Saltbox-Roof Probability Distribution and its applications.

A look at mixed regression and copulas in clustered data analysis.

A clear look at tensor decompositions, ranks, and their role in quantum physics.

An overview of random matrices, focusing on symmetric matrices and their implications in various fields.

Exploring statistical methods for complex data structures in estimation.

A look into random processes and their expected supremum.

A look at how orbital patterns of small bodies reveal solar system history.

A closer look at Gaussian processes, linear transformations, and the role of unbounded operators.

Explore the essential features and ancestry in weighted particle systems.

TSVQR offers a fresh approach to analyzing complex data effectively.

Learn about harmonic and skew-harmonic numbers, their properties and applications.

Explore the role of RKHS in data analysis and machine learning.

This article explores interventional probability distributions and their role in causality.

A novel method improves local outlier detection by considering spatial relationships.

Learn how Bayesian methods improve predictions by addressing input uncertainty.

Learn about data simulation methods for effective statistical modeling.

A look at maximum likelihood estimation principles in linear concentration models.

Learn how to analyze causal structures in complex data through directed graphs.

Explore the unique features and applications of Lévy processes in various fields.

Analyzing how dimensionality influences personalization and diversity in recommendation algorithms.

Discover how DNNs enhance predictions for weakly dependent data.

A new method tackles challenges in high-dimensional linear regression effectively.

Examining methods for managing missing data and their impact on correlation visualizations.

Nonparametric techniques enhance detection of changes in time series data.

A new algorithm improves sampling accuracy and efficiency for hard-sphere models.

Learn how Latent Class Analysis uncovers patterns in categorical data.