Statistics

A method to study how different variables affect each other over time.

Examining how socio-demographic factors influence health outcomes during epidemics.

Research reveals new insights into the interstellar medium through stellar light analysis.

A deep dive into the reliability of probabilistic weather forecasts.

This study analyzes how the pandemic affected various causes of death in Italy.

This study evaluates how statFEM handles errors in complex models.

A new model reveals how interactions affect COVID-19 transmission and individual risk.

A study comparing effectiveness of surgical and non-surgical treatments for cholecystitis.

This study evaluates how statFEM handles errors in complex models.

A new tool to adjust survey data for better population representation.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

Methods to improve estimation accuracy in large data sets.

A guide to Bayesian analysis techniques for spatial data forecasting.

A new method improves clustering results and insights through balanced groupings.

A new method for estimating distributions using Bayesian histograms enhances memory efficiency.

A new model improves predictions in microbiome research with limited data.

Examining how machines learn to form complex outcomes from simple parts.

A look into how agents learn and improve in their environments.

A new method enhances how images match text inputs.

An overview of sufficient graphical models for analyzing high-dimensional data.

Learn how variational autoencoders enhance estimation in wireless communication.

A look at how training methods affect model performance in machine learning.

RS-CNN offers a new approach to quantify uncertainty in machine learning predictions.

Learn how contextual bandits adapt to changing rewards for better decision-making.

Learn how to manage tail risk using Conditional Value-at-Risk and Importance Sampling techniques.

This article presents a new method for predicting outcomes based on data factors.

A deep dive into the reliability of probabilistic weather forecasts.

A novel method for analyzing brain activity using vector autoregression.

This article discusses importance sampling and biasing methods in complex systems.

A look at innovative methods for studying complex data patterns.

A new framework helps scientists communicate and design better experiments.

Research introduces models for analyzing Gaussian distributions using the Wasserstein metric.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

Learn how automation can simplify grading open-ended assignments for educators.

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

A look at Bayesian and Frequentist methods in statistics.

This article presents a new method for predicting outcomes based on data factors.

A look at innovative methods for studying complex data patterns.

Explore the basics and applications of two-layer neural networks.

Research introduces models for analyzing Gaussian distributions using the Wasserstein metric.

New methods enhance control of false discovery rate in binary data analysis.

A method to derive prior distributions from expert decision-making processes.

A novel method to improve estimations in high-dimensional data analysis using zero-estimators.

LAGO trials allow flexible treatment adjustments to improve patient results in clinical research.