Latest Articles for Statistics

This article explores intransitivity and its impact on decision-making in various fields.

A new method to analyze multiple class outcomes using variable importance measures.

New methods improve model performance with fewer data points.

Innovative techniques improve accuracy in identifying confounding variables in research.

A method for estimating medians in real-time data with minimal resources.

A look at how differential privacy safeguards individual data in a data-driven world.

An overview of chromatic polynomials and their significance in graph theory.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

Examining the role of random matrices in various fields through eigenvalue analysis.

A new approach to accurately match records in error-prone datasets.

A look at how mutual information shapes data relationships in machine learning.

Exploring the importance of group sparsity in data analysis across various fields.

A new approach to understanding behavior in complicated systems using deformed statistics.

This article examines MLPs and KANs in low-data environments.

This article explores hypergeometric functions and their significance in number theory.

Learn how to check and enhance data quality automatically.

STVNN offers a robust solution for analyzing complex data over time.

A new method improves Gaussian Process predictions by handling outliers effectively.

New methods enhance factor analysis by focusing on model interpretability.

CVTMLE combines TMLE and cross-validation for reliable causal estimates in research.

A new method enhances marginal likelihood calculations in Bayesian statistics.

This article explores smooth boosting and its advantages in model training.

A new model improves analysis of longitudinal datasets with multiple covariates.

Examining elliptic curves and their behavior within cyclotomic extensions and Selmer groups.

A new model enhances analysis of sample selection bias in various fields.

This article explains Giry algebras and their role in probability and Polish spaces.

Learn how Anomaly-Free Regions improve anomaly detection efficiency in datasets.

Learn how conformal inference adapts predictions based on data variations.

Learn how neural networks enhance the accuracy of Monte Carlo integration through control variates.

New particle sampling methods improve efficiency in phase space distribution analysis.

How mismeasured variables affect research outcomes and bias.

A new method enhances model selection for improved predictions.

New methods enhance reliability in estimating average treatment effects.

New methods enhance K-means clustering by addressing missing data issues.

Enhancing predictions through weighted Test-Time Augmentation methods.

This article explores edge-bicolored graphs and their significance in mathematics and physics.

This paper evaluates the Chi-square test's effectiveness in analyzing categorical data.

Introducing grid point approximation for handling large datasets effectively.

Learn how to use sound statistical methods for better decision-making in complex systems.

A new method improves estimation of population characteristics using mixed sampling data.