Statistics

Understanding how to handle imbalances in clinical trial groups.

This study evaluates differences in facial recognition accuracy among various groups of raters.

Examining how one factor influences another through data and methods.

New methods improve the accuracy of risk predictions in healthcare.

Innovative methods to study mid-story fuels for improved fire management.

A Bayesian framework improves accuracy in analyzing protein levels in biological studies.

Introducing weighted conformal p-values for effective candidate selection in various fields.

Bayesian methods improve survey data analysis with sparse responses, enhancing reliability.

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.

A new method to calculate winning chances in major sports tournaments efficiently.

Learn about stochastic dominance and its application in investment analysis.

Discover how Gaussian graphical models analyze relationships in paired data.

A new method for drawing insights from summarized data using Gibbs sampling.

A fresh approach to predicting extreme weather events and their interactions.

A framework to enhance machine learning predictions with clarity and trust.

DART enhances time-to-event prediction using deep learning techniques.

Saudi Arabia invests in advanced methods for renewable wind energy data prediction.

Examining the impact of GNNs on traditional algorithms and their performance challenges.

Kernel-based testing enhances insights into single-cell behavior and characteristics.

A new method predicts battery life using initial performance data.

This study evaluates differences in facial recognition accuracy among various groups of raters.

A fresh approach to predicting extreme weather events and their interactions.

Understanding how to handle imbalances in clinical trial groups.

This study evaluates differences in facial recognition accuracy among various groups of raters.

Examining how one factor influences another through data and methods.

A new method evaluates causal discovery results using data subset consistency.

New methods improve the accuracy of risk predictions in healthcare.

CTMVA modifies traditional techniques to analyze continuous data effectively.

A new method improves functional data analysis, handling outliers effectively.

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.

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

A look at how isotonic conditional laws aid data predictions.

Introducing weighted conformal p-values for effective candidate selection in various fields.

Exploring the role of random matrices in statistical modeling and covariance estimation errors.

A method for estimating jump sizes in storage systems using non-parametric techniques.

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

A novel approach to simplify complex data analysis using optimal transport methods.

Researchers develop tests to assess diffusion coefficients in complex systems over time.

Explore how nonlinear meta-learning improves task learning efficiency and accuracy.