Latest Articles for Statistics

Learn how group testing can efficiently find defective items in various fields.

This article investigates the stochastic heat equation and the behavior of its solutions.

A new method to create random samples from characteristic functions using neural networks.

Introducing BMT independence, a blend of three independence types for better analysis of random variables.

RFMs improve feature learning and handle high-dimensional data efficiently.

This article explains how soft quantization simplifies complex data without losing detail.

Learn methods to test if missing data is random using covariance matrices.

A new approach improves the analysis of causal effects with multiple interacting mediators.

A look into the median and mode of the Poisson distribution of order.

This study questions the preference for AUPRC over AUROC in imbalanced datasets.

This article explores a new way to compare solutions in Wasserstein space.

A look at how these models analyze complex data structures across various fields.

New methods improve detection of unusual data points in structured datasets using deep learning.

Explore the key concepts and applications of random matrix theory in various fields.

A new method to analyze relationships in incomplete insurance claims data.

Learn how nonparametric regression can adapt to constraints for better predictions.

Exploring how optimal design improves Bayesian parameter estimation techniques.

A new approach to teaching medical statistics engages students effectively.

A statistical model improves analysis of demographic data across various groups.

A new method for identifying change points in complex datasets.

This study presents improved methods for estimating Tsallis entropy across independent exponential populations.

Methods to tackle challenges in statistical analyses with dependent data.

A new method for analyzing functional data using neural network autoencoders.

A new approach to assess machine learning models without labeled data.

New methods for analyzing functional data enhance insights across various fields.

Exploring the effects of unfair dice on random number generation in computing.

A look into class groups and torsion in number fields.

This article presents a method for parameter estimation in the Hawkes process using discrete observations.

A new method enhances spatial data analysis efficiency and accuracy.

A new approach to analyze varying effects of treatments on different groups.

This paper discusses a method to reduce false positives in data analysis.

Improving Bayesian inference methods for ultrametric matrices in complex data analysis.

A study on the effects of noise in signal analysis and eigenvalue behavior.

Learn how Hawkes processes model interconnected events in various fields.

Methods to reduce dataset bias for better model performance.

This article discusses new methods for effective pattern discovery in data.

A practical guide to using spline approximation for data analysis and outlier management.

A look into how random connections form networks in various fields.

A new method accelerates high-dimensional data visualization using polar quadtree structures.

Exploring effective techniques for complex optimization problems.