Latest Articles for Statistics

A new framework improves how we test data independence across various types.

Learn how randomness affects financial models and predictions.

Learn the differences and uses of HPD and LRCI in data analysis.

Explore the significance of stable distributions in finance, weather, and behavior studies.

Discover the intricacies and advancements in high-dimensional sampling methods.

Learn how OGC helps machine learning models handle noisy data effectively.

PTFA: A new approach for better predictions in complex data.

Learn how point set registration brings order to scattered data.

Learn how optimization is reshaping data representation techniques.

Discover the fascinating world of random matrices and their applications.

Discover how missing data impacts teaching method effectiveness in research studies.

New methods improve accuracy in analyzing random functions across various fields.

Unlocking the mysteries of how factors influence each other in research.

Critiques of MSE and the rise of better statistical tools.

Learn how past events shape future occurrences through the Hawkes-diffusion process.

Learn how the Prediction Uncertainty Index improves concept drift detection.

Learn how orientation statistics improve robotics and engineering tasks.

Learn how variational inference and normalizing flows improve statistical modeling.

Learn how precision matrices and Cholesky factors improve data analysis.

Discovering the magic behind maximal minors and their impact on algebra.

New statistical models enhance the accuracy of weather predictions significantly.

Discover how copulas reveal complex relationships between random variables.

Learn how spatial statistics improves disease spread predictions using geostatistical models.

New methods improve functional data analysis by embracing flexibility and complexity.

Explore the fascinating links between Wishart laws, geometry, and real-world applications.

Learn how flow models improve understanding of cause and effect.

Discover how the Ewens-Pitman model helps understand random group formations.

Explore how Bayesian Federated Learning combines privacy and fairness in data sharing.

Discover the debate between two key statistical approaches.

Learn how to extract meaningful signals from noisy data across various fields.

Discover how random walks work in graphs and their real-life applications.

Discover a fresh approach to measuring uncertainty in data analysis.

Learn how Neyman-Orthogonalization helps researchers tackle nuisance parameters in statistics.

A fresh approach to check statistical models in high-dimensional data.

A look at how confidence intervals and bootstrapping impact mediation analysis.

Exploring effective methods for sampling from complex logconcave distributions.

A fresh approach to federated learning that balances privacy and efficiency.

Using advanced models to analyze international trade relationships and their hidden structures.

Learn how partial likelihood improves tree-based models in data analysis.

Explore how randomness shapes sequences and processes in mathematics.