Latest Articles for Statistics

This article reviews new methods to determine adequate follow-up periods in survival research.

A fresh approach to accurately evaluate differences in study results.

A new method enhances parameter estimation for linear regression amid non-standard error distributions.

Explore how Markov semigroups reveal insights about random processes and curvature.

Learn how to effectively visualize data with large value ranges.

A look into the Pólya-Tchebotarev problem and its significance across various fields.

Learn about reflected Brownian motion and its applications in queueing theory.

Explore how causal discovery models analyze count data for better decision-making.

Introducing an innovative estimator for analyzing variable relationships efficiently.

A study on improving transfer learning performance using Bayesian methods.

A new approach to analyze complex, nonlinear data relationships in statistics.

A look at the significance of Boue-Dupuis in probability and statistics.

A look into interpolation polynomials and their significance in various fields.

Optimizing noise generation methods for better data privacy in streaming applications.

Exploring Gary Lorden's key contributions to statistical methods in various fields.

Learn how threshold OU processes aid in predicting behavior in various fields.

A new method to enhance resource distribution across various sectors using statistics.

New methods improve creation of synthetic networks from limited data.

Techniques to improve model learning through better training data usage.

A guide to improving statistical power for reliable research outcomes.

A new approach to visualize quadratic problems using string diagrams.

Explore the relationship between parking functions and their statistical properties.

Exploring how permuton samples affect binary search tree efficiency.

An overview of Gaussian fields and their significance in studying random processes.

Explore the relationship between singular values and eigenvalues in random matrices.

A new method combines machine learning with Bayesian modeling for better predictions.

This article presents a method for unbiased estimation using Monte Carlo sampling and Taylor series.

A method to choose the best variables for clearer data analysis.

Examining variance profiles in ridge regression for better predictive modeling.

New algorithms speed up single-linkage dendrogram computations for large datasets.

A new method enhances accuracy in price prediction by refining feature selection.

A new method to enhance statistical precision in research analysis.

CNFs use differential equations to model complex probability distributions effectively.

This article discusses geometric functional analysis and its connection to probability.

New methods improve understanding of Poisson processes and their applications.

Learn how rank plots improve insights into variable relationships.

Methods to handle noisy data in finance using volatility matrices.

New dataset offers insights into births while safeguarding personal information.

A new approach to improve regression analysis with varying data points.

Introducing the FB method for better model assessment in cosmology.