Latest Articles for Distribution

Learn about an efficient method for calculating left-tail rare event probabilities.

Researchers uncover details about variable stars in the NGC6819 cluster.

This article examines random motion patterns within a square, focusing on direction changes.

An overview of how triangle networks enhance our grasp of quantum interactions.

This study explores the impact of predictions on individual actions and outcomes.

New methods for certifying anti-concentration in data distributions enhance machine learning applications.

Innovative sampling technique tackles challenges in complex distributions for machine learning.

This study presents a novel use of deep learning in economic modeling.

An overview of how active particles respond in harmonic traps under various conditions.

Exploring the elusive brown dwarfs and their impact on star formation.

This article discusses the role of minimax procedures in enhancing linear regression accuracy.

This study examines how social factors affect Mpox cases in Ontario.

A novel technique using electrostatics for better data sampling and estimation.

This article examines how passive Brownian particles behave in a fluctuating harmonic trap.

This article explores the common pattern of Zipf's law across various fields.

Research unveils the unique songs of a lesser-known Caribbean bird.

Exploring methods to fairly allocate shared resources among community members.

A new method enhances unsupervised learning through self-attention in images.

Learn how Gaussian Processes improve predictions and manage uncertainty in data analysis.

New insights into the comet distribution around Pictoris enhance our understanding of celestial formation.

Explore the relationships that shape filmmaking, distribution, and success.

A new method helps scientists predict how particles move over time.

This study examines the behavior of the smallest eigenvalue in random matrices affected by outliers.

This paper explores methods to assess policy effects over time.

Study of run and tumble particles reveals complex movement influenced by environment.

A study on using tree structures to enhance topic modeling in text data.

Examining the interplay between van der Corput sets and amenable groups.

Investigating particle behavior under branching and absorption dynamics.

Exploring how memory influences movement patterns in random walks.

Research reveals new insights into group multiplication and its communication complexity.

Combining generative modelling and quantile regression for effective data generation.

Introducing Conditional CRPS for improved predictions of interrelated outcomes.

Mathpop offers a better way to count star clusters in ultra-diffuse galaxies.

Discover how -contact geometry enriches the study of complex systems.

Cure rate models help analyze events over time, impacting fields like medicine and social science.

A look into how CNNs interpret images and their features.

Examining how game rules influence player strategies and outcomes.

A look into how investors manage risk through asset allocation strategies.

Learn how Wasserstein Spatial Depth helps make sense of complex data.

Naloxone distribution programs are essential in reversing overdose deaths in communities.