Latest Articles for Statistics

Improving efficiency of probability estimates in uncertain systems through advanced methods.

A fresh approach to analyze time series data interactions using statistical features.

A look into the PDHG algorithm and its role in optimization methods.

A look at how goodness-of-fit tests evaluate data against statistical models.

Learn how PTMs provide insights into complex relationships between variables.

Exploring random matrices and their significance in complex systems across various fields.

A new method examines how social influences affect educational outcomes.

A fresh approach improves calculations on the Stiefel manifold for various applications.

A look at how dependence measures help analyze relationships between multiple variables.

New techniques simplify the calculation of the Wishart normalising constant in Bayesian models.

A novel technique accelerates the analysis of piecewise constant functions.

Explore the principles and applications of Kernel Ridge Regression in various fields.

This study proposes a new method for change point detection in complex datasets.

This study examines when monochromatic subgraph counts show normal distribution patterns.

Learn how differential privacy can enhance data security in LLS regression.

A look at under-bagging as a solution for imbalanced data in machine learning.

A method to analyze relationships in complex systems across various fields.

A flexible method to enhance quantile regression accuracy and interpretation.

Introducing GASTE-test for improved analysis of categorical data with complex factors.

A detailed look at clustering evaluation and the role of Relative Validity Indices.

Source identities connect various mathematics fields and enhance understanding of complex systems.

A new method improves learning of directed acyclic graphs amid varying noise levels.

Analyzing rounding errors can improve the accuracy of low-precision calculations.

A look into Markov chains and MCMC's role in sampling and optimization.

An exploration of a mathematical puzzle and its different elimination rules.

Learn about dimension reduction methods for simplifying complex data analysis.

Exploring nondeterministic causal models for better analysis of complex relationships.

Learn how to make better predictions and decisions by minimizing swap regret.

A comparison of distance measures for effective clustering analysis.

This article analyzes how data structure affects matrix completion models.

Exploring new models for improved long-term predictions in various sectors.

Explore techniques to enhance covariance matrix estimation in large datasets.

A look into Shimura varieties and their significance in mathematics.

A look into the characteristics and uses of Poisson point processes.

Learn how hidden Markov models and renewal processes aid in making accurate predictions.

A look at how cheating affects casino winnings using mathematical models.

A look at PCA and GEE in predicting mortality rates.

Improving machine learning robustness against adversarial examples is critical for secure applications.

This article examines the behavior of small ball probabilities in random tensors.

A look into causal relationships and their importance in various fields.