Statistics

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

A novel approach to ensure fair predictions in urban mobility analysis.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

A look at how SHAP and CEN improve data analysis insights.

A new method using radar data enhances predictions of extreme rainfall events.

SMC-EEM offers a faster way to model complex ecosystems.

This article examines the factors influencing blood pressure using advanced statistical methods.

A study examines how speeding habits differ globally and their impact on road safety.

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.

Synthetic data generation enhances privacy while enabling valuable data analysis.

This article discusses the role and challenges of hypo-elliptic stochastic differential equations.

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

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

New methods to protect machine learning from backdoor attacks using feature strength.

A new method enhances data alignment and comparison across different datasets.

Discover how Probabilistic PCA improves insights from high-dimensional data.

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

Examining the efficiency and limitations of amortized variational inference in statistical models.

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

A fresh approach enhances accuracy in predicting handball match outcomes using historical data.

Examining issues and solutions for better reproducibility in machine learning research.

A new approach to analyze count time series and forecast future trends.

Learn how design points enhance prediction accuracy in spatial statistics.

This article discusses methods for assessing treatment effects in research.

Research examines citizenship norms using multilevel latent class analysis across nations.

New methods improve clinical trial data analysis through active learning techniques.

AWAIRE offers a fresh approach to verify IRV election results without detailed records.

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.

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

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.

The rSVDdpd algorithm offers reliable data insights amidst outliers and noise.

An overview of how information geometry can enhance machine learning techniques.

Learn effective methods for analyzing grouped data with emphasis on parameter estimation.

A look into the random walk Metropolis-Hastings algorithm for statistical sampling.