Latest Articles for Covariance

Explore the role of eigenvalues in improving statistical analyses and model evaluations.

New method enhances Gaussian process models for faster predictions with real-time data.

This article examines new methods for assessing Gaussian random vectors' concentration around average values.

Exploring new methods for analyzing random structures in statistics.

New technique improves bispectrum estimation in cosmological studies.

An analysis of signal detection effectiveness through noise covariance estimation.

FVNNs provide a fair approach to data analysis and predictions.

A new method streamlines calculations for random effects in Generalized Linear Mixed Models.

A look into how CNNs learn image features and their universal similarities.

STVNN offers a robust solution for analyzing complex data over time.

Learn how forecast reconciliation enhances prediction accuracy across various data sources.

Learn how models retain knowledge while adapting to new examples.

A tool to check the suitability of Laplace approximation for statistical models.

Exploring how random fields model unpredictable systems in nature and finance.

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

Learn how IOX models analyze complex spatial data relationships.

A fresh approach improves insights from complex, interdependent datasets.