Latest Articles for Statistics

Key methods for identifying significant factors across various industries.

Learn how chance-constrained programming and the Active Set method improve decision-making under uncertainty.

A new method enhances accuracy in linking healthcare and social science data.

TSLiNGAM improves causal discovery in complex datasets with skewed distributions.

Advancements in testing methods enhance understanding of variable relationships.

A look at correlation matrices and the Clustered Factor model's strengths and weaknesses.

A look into how numbers can be approximated by rational values.

An overview of vector partition functions and their applications in mathematics.

This research examines sample correlation matrices in high-dimensional time series analysis.

Benford's Law shows how natural data defies expectations in digit distribution.

Examining how two variables relate using conditional distributions for better data analysis.

Exploring the role of linear independence in classifier ensembles for improved accuracy.

Introducing a new hashing method that improves performance and reliability.

A new method enhances analysis of statistical models for complex datasets.

This study examines how to improve treatment decisions using kernel regression methods.

Advancing treatment effect estimation through conformal prediction methods.

Discover a tool that simplifies residual lifetime calculations for better decision-making.

A look into prime numbers and their patterns in number theory.

A method to estimate how probability measures relate and adapt using regularization.

A novel model improves ranking through paired comparisons in various fields.

Introducing effective statistics for testing covariance structures in high-dimensional data.

A new method enhances performance on imbalanced data in machine learning.

Exploring correspondence coloring and chromatic numbers in random graphs.

A new method to estimate inverse covariance matrices using partial information on variable ordering.

Research improves calculations in continuous-time Markov models for finance.

Learn how shared information impacts random variables in various fields.

A study on the effectiveness of mixed likelihood-free testing methods.

Kuiper's test helps analyze differences between data distributions effectively.

Learn how mcmsupply aids in tracking contraceptive access globally.

This article delves into the half-Cauchy prior and its effectiveness in estimating parameters.

A method to assess data fit using Monte Carlo simulations.

A simple guide to fuzzy rough approximations and their applications.

A new model enhances predictions in hierarchical datasets with missing data.

Transport maps improve sampling from complex probability distributions in various fields.

Introducing a structured framework for better model selection and error management.

Learn how federated analysis keeps medical data secure while offering insights.

This method improves data classification efficiency and accuracy over traditional techniques.

A new framework improves clustering with missing multi-view data.

This article examines recent advancements in copula families and their applications.

Research shows misinterpretation of p-values harms public health decisions.