Statistics

New neural network method improves roughness estimation in SAR images.

Examining the impact of life expectancy on retirement benefits in Brazil.

A fresh approach to assess drought impacts on rice farming in Sri Lanka.

Analyzing climate's role in spruce budworm outbreaks using advanced statistical modeling.

A new method detects outages while safeguarding user data.

A model to analyze the causes of mass public shootings in the U.S.

A new method uses voltage data for faster line outage detection.

GAM-DVQR improves weather predictions by capturing intricate relationships between variables.

Learn how to avoid biases in model selection.

A new method enhances efficiency in complex data analysis using weighted Riesz particles.

Exploring new methods for reliable heart disease data analysis.

A study on enhancing drug prediction models for better cancer therapies.

MELAGE helps doctors and researchers analyze brain images for better diagnosis.

This study enhances spectroscopy methods for better dairy product analysis.

A new method for clustering large datasets effectively and efficiently.

A method for efficient group sparse regression in data science.

A new method to enhance predictions in Bayesian deep learning by focusing on key parameters.

A novel meta-learning model improves predictions with less data.

A new approach to improve clustering accuracy and efficiency through Generalised Mutual Information.

This study explores how postprocessing enhances Bayesian optimization efficiency in complex problems.

A new method improves data use in complex optimization problems.

A study on learning Gaussian mixtures while protecting individual data privacy.

A new method to handle missing values in decision trees.

Learn the process of creating models for dynamic systems using measured data.

A new method to enhance predictions in Bayesian deep learning by focusing on key parameters.

A new approach to improve clustering accuracy and efficiency through Generalised Mutual Information.

Learn how robust tensor decomposition improves data analysis amidst noise and outliers.

Learn how causal research and simulations enhance data analysis in health studies.

Learn how to avoid biases in model selection.

FLASH improves predictions using long-term patient data and significant health events.

Explore the potential of semi-supervised learning in various applications.

CBRNet helps accurately assess treatment doses in healthcare and other fields.

Exploring geometric perspectives on correlation matrices for deeper insights.

This article presents a new method for selecting radius in complex data analysis.

Understanding the complexities and solutions in geospatial data analysis.

Examining how parts interact to create new outcomes in complex systems.

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 robust tensor decomposition improves data analysis amidst noise and outliers.

This article examines power variations in stochastic processes influenced by fractional Brownian motion.

Learn how machine learning models perform on unseen data.

Exploring the impact of local discrepancy and functions on QMC techniques.

A new method enhances prediction reliability despite incorrect data labeling.

Examining the ethical practices in AI and their societal implications.

A method to improve predictions in data with missing outcomes.

Research from the MMS mission reveals key insights into magnetic fluctuations.