Latest Articles for Statistics

Discover the impact and applications of polynomial random matrices in modern science.

Discover how robust regression enhances data analysis for better predictions.

A guide to understanding estimation in statistics with relatable examples.

Learn how changing variables enhances our understanding of diverse data.

Learn how SMCO transforms global optimization into a simpler challenge.

Learn how convolution mode regression helps find common values in messy data.

Discover how raincloud plots enhance data clarity in research.

A guide to sandwich regression and its practical applications.

Learn how clustering and external data improve clinical trial efficiency.

Researchers tackle the complex Maximum A Posteriori problem using innovative methods.

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.