Statistics

New method improves identification of crystalline structures using X-ray diffraction data.

A new method leverages EHRs to better predict cancer risk in patients.

Exploring the significance of biodiversity and its impact on ecosystems.

A look at a method to identify cause and effect over time.

This research focuses on optimizing knot selection for two-dimensional functional data.

Exploring the role of RDS in studying hard-to-reach trafficking populations.

A new model uses ECG data to predict atrial fibrillation risk effectively.

A software tool aids researchers in studying extreme weather events and their impact.

New algorithms improve efficiency in analyzing event dynamics using MHPs.

An overview of Bayesian neural networks and their importance in AI.

How Bayesian statistics aids in analyzing experimental data in physics.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

A fresh method for more accurate credit risk estimation and management.

New modeling technique improves understanding of long-term treatment effects.

A look at the EM algorithm and its Monte Carlo adaptation for handling missing data.

New methods improve sampling from complex distributions for accurate estimations.

New model improves analysis of complex relationships in statistics and machine learning.

A new method for accurately identifying mixed distributions from random variable samples.

New methods enhance treatment outcome estimation for personalized health care.

Exploring the significance of feature normalization in non-contrastive learning dynamics.

This paper discusses methods to reduce bias in data analysis.

New method enhances predictions using Gaussian processes on unknown data structures.

MPHD improves Bayesian Optimization by using knowledge from different domains for better results.

Combining machine learning and OFDFT enhances molecular analysis efficiency and accuracy.

Introducing HINITE, a method for accurately estimating treatment effects in complex scenarios.

A new model enhances the assessment of healthcare providers’ performance.

New algorithms improve efficiency in analyzing event dynamics using MHPs.

A look at how to identify parameters in biological models using differential equations.

A data-driven approach identifies hidden strategies for managing disease evolution.

Learn how double machine learning improves batch experiments for treatment assessment.

Exploring the significance of biodiversity and its impact on ecosystems.

A look at a method to identify cause and effect over time.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

PORTSEA advances extreme value statistics, influencing various fields and education.

This article examines how gamification boosts student engagement in flipped classrooms.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

Learn how to retrieve original signals from noise using statistical methods.

Learn how double machine learning improves batch experiments for treatment assessment.

New methods enhance treatment outcome estimation for personalized health care.

An overview of Bayesian neural networks and their importance in AI.

Exploring statistical depth methods for fuzzy data and their applications.

Examining how random sets and belief functions affect decision-making in various fields.

Research reveals insights on data with many features and interdependencies.

Examining sample complexity in stochastic programming with heavy-tailed distributions.