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.

Discover new methods for estimating treatment effects in research.

Analyzing causes of performance differences in machine learning applications across various settings.

Probabilistic neural networks offer deeper insights into uncertainty in scientific modeling.

A look into the peculiar behavior of Deep Neural Networks during training.

A flexible tool designed for varied data labeling situations.

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

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

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

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.

New methods improve the reliability of results in multiple hypothesis studies.

Introducing a model that enhances count data analysis with extra factors.

Learn how researchers handle missing data to analyze causal effects.

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

Learn how AutoCD simplifies finding causal relationships in data.

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.

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.

Introducing an algorithm for better decision-making with uncertain rewards in complex scenarios.

New methods reveal community structures in networks, enhancing insights in various fields.

GROS combines multiple estimators for improved accuracy in data analysis.