Statistics

This study examines factors influencing COVID-19 infection rates in England.

A method to assess data fit using Monte Carlo simulations.

This study examines how users reciprocate interactions in online social networks.

Exploring advanced models to understand brain dynamics over multiple time scales.

Improving group testing methods for better health outcomes during crises.

A simplified approach to estimate disease prevalence using pooled and individual tests.

Science shapes our world, impacts society, and enhances our quality of life.

A new method enhances material model calibration using integrated techniques.

This study examines how users reciprocate interactions in online social networks.

Simulation methods provide valuable insights for statistical research and real-world applications.

A new MCMC algorithm improves sampling efficiency in complex scientific systems.

Techniques to enhance efficiency in vision models using pruning and matrix decomposition.

Analyzing satellite data to improve bushfire monitoring and management strategies.

New methods improve accuracy in remote sensing of Earth's surface and atmosphere.

A look into the Logistic-Normal Dirichlet Model for compositional data.

New models generate realistic data across various fields and applications.

This work presents a new method for solving complex PDEs using neural networks.

This project enhances recognition of Medieval Latin lemmas from handwritten record cards.

Research improves seizure prediction accuracy through EEG analysis and feature selection.

A novel generator improves image creation across various categories using optimal transport methods.

This study examines how users reciprocate interactions in online social networks.

This method improves data classification efficiency and accuracy over traditional techniques.

A new algorithm enhances decision-making in uncertain environments through effective sampling.

Using technology to reveal overlooked consumer concerns in complaint data.

Introducing a method that enhances rainfall prediction accuracy for better preparedness.

Simplifying outlier detection across mixed data types for better analysis.

Learn how mcmsupply aids in tracking contraceptive access globally.

A straightforward model for monitoring and predicting pandemic outcomes using basic metrics.

An overview of effective data collection and analysis during health crises.

Transport maps improve sampling from complex probability distributions in various fields.

Introducing a structured framework for better model selection and error management.

Learn how federated analysis keeps medical data secure while offering insights.

Overview of volatility models in geography, finance, and environmental science.

A look at Bayesian and Frequentist methods in statistics.

New spectral approach enhances multivariate Matérn models for spatial data analysis.

Explore different methods in causal modeling and their significance for research.

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.

This article delves into the half-Cauchy prior and its effectiveness in estimating parameters.

This work presents a new method for solving complex PDEs using neural networks.

Introducing a structured framework for better model selection and error management.

This article examines recent advancements in copula families and their applications.

A fresh approach to handling incomplete data in health and engineering studies.

Simulation methods provide valuable insights for statistical research and real-world applications.

This article discusses methods for comparing variable selection and ranking techniques in data analysis.

Learn about new methods for analyzing complex time series data.