Statistics

Learn how Bayesian methods improve data insights in various fields.

Examining how sea level changes affect coastlines and ecosystems.

A simplified approach changing how engineers estimate offshore structure impacts from waves.

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.

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.

This study uses deep learning for hand gesture recognition with muscle signals.

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.

Learn how Bayesian methods improve data insights in various fields.

This article examines how agents influence each other in public health decisions.

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.

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.

Exploring the role of the R'enyi index in assessing network diversity.

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.