Latest Articles for Statistics

Exploring effective techniques for complex optimization problems.

A new method for analyzing eigenvalues in structured random matrices.

New methods combine structured and unstructured data for better predictions.

This article discusses the significance of factor loadings in Confirmatory Factor Analysis.

A look at the NK hybrid genetic algorithm for improved clustering solutions.

This article discusses new methods to improve signal estimation accuracy using spatial coupling.

Learn how causal graphs reveal dependencies between variables.

Research focuses on improving spin qubit performance through adaptive estimation methods.

A new approach to enhance numerical integration accuracy with fewer evaluations.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article examines how to determine correlations between random vectors using statistical methods.

Exploring the dynamics of random walks in structured trees.

A study comparing imputation methods for handling missing data in hierarchical structures.

A deep dive into the Poisson distribution and its modes.

A modular approach to simplifying complex statistical estimation processes.

Exploring how Differential Privacy protects personal data while providing valuable insights.

Exploring the balance and connections within alternating sign shapes in combinatorics.

Learn how long memory influences predictions in various fields.

A method combining PCA and statistical depth improves outlier detection in data analysis.

New techniques improve Bayesian inference in complex, high-dimensional systems.

A look at methods for variable selection in functional regression and its challenges.

An insight into how DRO and robust statistics improve decision-making under uncertainty.

A guide to using minimax test statistics in incomplete data scenarios.

Methods to compare data defined on shapes through metrics and stable representations.

A look into Hartigan's method and its role in clustering.

Examining how jump processes affect the occurrence of rare events.

This article explores random permutations and their cycle structures, focusing on short cycles.

A novel method for better understanding disease spread using spatial models.

A model for understanding extreme values in various disasters.

A study on identifying truncation effects in statistical data analysis.

A guide to understanding PACF for time series data with changing behavior.

Combining Bayesian statistics and decision theory to improve decision-making with uncertain data.

A practical approach to improve financial risk estimates using SMLE.

Introducing LiNGAM-MMI, a method that improves identification of causal relationships.

A look at the Dirichlet distribution and its role in probability and statistics.

Explore how martingale transport links probability measures in various fields.

Learn how optimal transport helps compare data distributions efficiently.

A new method for predicting causal relationships from time series data using deep learning.

Introducing a method for reliable uncertainty quantification in statistical learning.

Explore how uncertainty affects machine learning predictions and methods to measure it.