Statistics

A new model to assess heavy metal risks in soil.

New methods improve disease model accuracy for public health decision-making.

This research analyzes user engagement factors on crowdfunding platforms to enhance contributions.

GROS combines multiple estimators for improved accuracy in data analysis.

A new method improves image quality affected by speckle noise using machine learning.

This model aids in analyzing complex datasets across various fields.

An overview of models predicting infectious disease transmission in populations.

A look into how information theory enhances our understanding of disease spread and populations.

A look at methods to improve model predictions and reduce uncertainty.

A new method enhances variational inference efficiency and accuracy.

New methods improve disease model accuracy for public health decision-making.

A new approach to dose-finding trials enhances efficiency and accuracy in drug development.

Introducing a method to enhance significance testing in regression analysis.

This model aids in analyzing complex datasets across various fields.

An efficient method for fitting complex models using probabilistic data.

A new method improves outlier detection and estimation in multi-dimensional datasets.

Introducing DOPE: a robust method to improve treatment effect estimation using observational data.

Learn how Histogram Loss improves regression predictions by modeling uncertainty.

New datasets enhance predictions and understanding of nanomaterial properties using graph machine learning.

Introducing DUETS: a method for optimizing distributed decision-making with minimal communication.

Learn how partial feedback can streamline mode estimation in large datasets.

Learn how SGD with Clipping enhances gradient estimation in noisy data environments.

New framework improves pedestrian intention prediction for self-driving cars.

New methods for estimating random event processes from limited data.

Introducing DOPE: a robust method to improve treatment effect estimation using observational data.

New measures improve comparisons of complex medical data sets.

A fresh approach to improving treatment effect estimation in clinical research.

A look at how longitudinal data reveals trends and insights.

A fresh perspective on testing medical treatments aims for clearer results.

Discover new methods for estimating treatment effects in research.

A novel method for accurate population size estimation with limited data.

A two-stage method enhances model performance across different data groups.

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 analyze and manage risks in finance and business.

Methods to improve location estimation amid skewed data and outliers.

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

Learn how new methods improve predictions for random events and outcomes.

Introducing DOPE: a robust method to improve treatment effect estimation using observational data.

New measures improve comparisons of complex medical data sets.

Investigating complexities of posterior sampling in diffusion models for image processing.

Exploring new methods in algebraic statistics across educational testing, regression, and contingency tables.

Discover new methods for estimating treatment effects in research.

Learn how to improve linear regression by tackling self-selection bias.

This article examines the complexities and limitations of sparse linear regression methods.

A new method helps tackle tough statistical inference issues using artificial samples.