Latest Articles for Statistics

Exploring the significance of binary representations and their patterns.

A look at how leading digits affect data interpretation.

Learn how to retrieve original signals from noise using statistical methods.

A new method for accurately estimating CDFs amid uncertainties.

Learn how double machine learning improves batch experiments for treatment assessment.

A method to improve estimation accuracy using known correspondences.

This paper discusses methods to reduce bias in data analysis.

Discover how stick fragmentation relates to number distribution patterns.

A look into new methods for efficient data analysis.

How Bayesian statistics aids in analyzing experimental data in physics.

Exploring Markov mimics and their role in stochastic processes.

Exploring statistical depth methods for fuzzy data and their applications.

A new method enhances local variable selection for better scientific insights.

SALSA improves efficiency in analyzing large datasets across various fields.

Research reveals insights on data with many features and interdependencies.

Explore the link between entropy and log-concave random variables.

Explore alternative techniques for identifying regions of high data likelihood.

Learn how linear models help analyze data and predict outcomes.

Exploring how element selection influences sums and differences in number sets.

A look at semi-confirmatory factor analysis and its advantages in data analysis.

A study on rare events, convergence, and feedback control in nanoparticle systems.

Research reveals simplicity bias impacts predictions in random logistic maps.

Introducing a method to improve clustering in imbalanced datasets.

New methods improve sampling from complex distributions for accurate estimations.

This method simplifies log-concave density estimation using independent components.

A new algorithm improves regression analysis while prioritizing data privacy.

A look at how differential privacy safeguards individual data privacy.

A new method enhances the efficiency of calculating confidence sets in economic models.

A concise overview of MCMC sampling methods and their applications.

A new method enhances correlation significance assessments in time series analysis.

Innovative method improves inference from data simulations using quantile regression.

Explore how randomness shapes angles in geometrical probability.

Exploring geometric perspectives on correlation matrices for deeper insights.

A new method for better understanding cause-and-effect relationships.

A method for optimization with multiple functions and constraints, widely applicable in various fields.

Learn how Hawkes processes explain event interactions in various fields.

Discover a new model for understanding response variables in various fields.

This article presents a new method for selecting radius in complex data analysis.

This paper examines AMP's role in high-dimensional statistics, focusing on sparse and robust regression.

Learn how group testing can efficiently find defective items in various fields.