Latest Articles for Probability Theory

A study reveals the complete structure of quantum probabilities and their implications.

Exploring key properties and implications of Dirichlet functions in number theory.

Exploring the Cauchy functional equation and its probabilistic implications.

Examine how probability distributions change over time and their information loss.

Exploring the significance of the Choquet-Deny property in groups and groupoids.

A deep dive into the FK-Ising model and its implications for phase transitions.

Exploring how systems develop over time and their convergence behaviors.

This study adapts optimization techniques for better performance in Wasserstein space.

An analysis of positive areas in spherical fractional Brownian motion.

This article examines the relationship between stretched Brownian motion and Bass martingales.

A look at various types of convergence in signed measures.

An overview of probabilistic graphical models and their applications in various fields.

A look at skew Brownian motion and its role in finance and risk assessment.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

Learn how Bregman divergence aids in measuring data differences and improving machine learning models.

Introducing a new method for sampling from complex probability distributions in Bayesian inference.

Exploring measures and dynamics in ergodic optimization through unique shift systems.

A look into key probability distributions in computer science.

A new method enhances predictions for complex distributions using moment closure.

An introduction to Sliced Wasserstein geodesics and their differences from Wasserstein geodesics.

Exploring polymorphism's role in math and physics across classical and quantum systems.

A look into moment problems, their types, and significance.

Explore the significance of matrices, eigenvalues, and random fields in data analysis.

Learn how the kinetic Langevin algorithm improves sampling in high-dimensional spaces.

A look at how to manage customer wait times in queues.

A look into finite de Finetti bounds and their impact on statistical inference.

This study introduces a method to simplify entropy measurement using geometric principles.

A look into Riemann surfaces and their properties via Bergman kernels.

This article covers key inequalities governing Gaussian random variables.

An overview of tree-rooted planar maps and their properties.

A look into the Type D ASEP and its complex interactions.

A flexible approach to understanding irregular sequence behaviors in mathematics.

A new method aims to improve decision-making in high-stakes situations through cautious calibration.

Learn how Bayesian inference updates beliefs with new evidence.

A study on how barriers affect random walks using the method of images.

Exploring how random matrix eigenvalues behave over time and reach stable distributions.

Researchers use random methods to analyze locally symmetric manifolds and group properties.

Examining gradient flows and their role in probability density functions and sampling methods.

This study examines the behaviors of particle types and maximum position decay in BBM.

This paper looks at particle behavior in random environments and maximum positions.