Statistics

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 new approach enhances the measurement of risks in clinical trials.

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.

A new score measures publication impact by balancing citations and publication age.

A method for restoring clarity in blurred images through statistical techniques.

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

GROS combines multiple estimators for improved accuracy in data analysis.

MIM-Reasoner optimizes information spread across multiple social media platforms.

A novel approach to decision-making using minimal samples.

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

A new method improves causal learning despite missing data and cyclical relationships.

This study investigates how LoRA fine-tuning influences token clustering in Transformer models.

New methods improve sampling from complex distributions using HJB equations and Tensor Train.

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.

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

A new model for analyzing integer-valued time series data is proposed.

This article discusses the significance and evaluation of surrogate markers in clinical trials.

Learn about new methods for making statistical inferences on Proportion of Variance Explained.

A fresh approach to p-values improves evidence assessment in statistical research.

A method for generating synthetic data using Bayesian networks to protect privacy while allowing analysis.

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 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.

New methods improve sampling from complex distributions using HJB equations and Tensor Train.

Introducing a method to enhance significance testing in regression analysis.

A fresh approach to p-values improves evidence assessment in statistical research.

A new method for analyzing centrality and outlyingness in non-standard datasets.

Methods for reducing dimensions while preserving data structures.