Statistics

A new method enhances health data accuracy in small regions with limited information.

A new method improves user experience in brain-computer interfaces.

A new method improves variable selection in survival analysis models.

A study on how extreme swimming performances can predict future records.

A look at the impact of COVID-19's second and third waves in Poland.

Innovative methods consider household interactions for personalized treatment strategies.

A closer look at poverty mapping methods and their impact on policy.

Exploring the role of ordinal models in interpreting survey data in medicine.

A modern approach to improve spatial data analysis using machine learning methods.

A new method improves variable selection in survival analysis models.

New technique improves inference for latent Gaussian models with complex data.

This article discusses the Restart sampling method in generative models.

Learn how to choose predictive models effectively using Bayesian inference.

Exploring the role of PDMP and coupling in improving statistical sampling methods.

A new method for sampling from complex distributions in imaging.

New techniques enhance efficiency and accuracy in experimental design using Bayesian methods.

New methods improve handling of high-dimensional data in machine learning.

A study on the effectiveness of mutual information estimators in differing data scenarios.

Learn how predictive maintenance improves machinery efficiency and reduces costs.

A look into new methods for tackling complex decision-making challenges.

A new framework improves sampling of extreme events using machine learning and traditional methods.

Higher-order GNNs improve learning from complex graph data using P-tensors.

A framework to evaluate the robustness of Bayesian Neural Networks against adversarial attacks.

A new method improves optimal transport by learning data-specific cost structures.

A new method to study rare but serious treatment outcomes.

A method to enhance data analysis in social sciences.

A new method improves causal discovery by tackling heteroskedasticity in data analysis.

A new method enhances the accuracy of combining clinical trial outcomes.

A new method enhances health data accuracy in small regions with limited information.

A new method to compare how features affect outcomes in data analysis.

A new method improves variable selection in survival analysis models.

A study on how extreme swimming performances can predict future records.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

Higher-order GNNs improve learning from complex graph data using P-tensors.

A fresh approach to estimate treatment effects despite missing data.

A new approach uses measures to improve machine learning models and address real-world challenges.

A fresh perspective on understanding generalization error in machine learning algorithms.

A study on how extreme swimming performances can predict future records.

A look at measuring data across various metric spaces.

A guide to estimating Gaussian mixture densities effectively.

This article explores the link between lognormal distributions and mutual information analysis.