Statistics

Analyzing how rest affects team performance in NFL games.

A new method improves trials for multiple treatments over time.

Introducing a flexible model for estimating volatility across various fields.

O-ISAC merges communication and sensing for smarter technology.

A study on methods for fairness in assessments across diverse groups.

This article explores the impact of Engagement Surfaces on online shopping behavior.

Researchers assess risks of identifying individuals from shared data to improve privacy.

Analyzing the climate effects of the Mt. Pinatubo eruption provides insights for future interventions.

Introducing a flexible model for estimating volatility across various fields.

O-ISAC merges communication and sensing for smarter technology.

New methods reduce time for analyzing complex networks effectively.

Researchers assess risks of identifying individuals from shared data to improve privacy.

Air-HOLP improves feature screening in complex datasets, balancing accuracy and efficiency.

This article discusses new methods for efficient data analysis using Bayesian techniques.

Semi-Markov models improve understanding of cancer latency and overdiagnosis risks.

A guide to methods for estimating asymptotic covariance in MCMC simulations.

A fresh approach to causal inference using flexible data collection methods.

Learn how the Deep Limit Model-free method improves predictions and uncertainty management.

Innovative method combines machine learning and physics for solving differential equations.

A novel algorithm enhances decision-making in complex environments using historical data.

Automated systems improve train diagnostics, leading to faster repairs and fewer delays.

Learn how Parseval operators enhance image processing in CNNs.

New strategies for improved outlier detection are reshaping data analysis methods.

New methods refine constitutive models for soft materials using statistical techniques.

This paper discusses methods to optimize experimental design for better efficiency and outcomes.

A fresh approach to causal inference using flexible data collection methods.

A method to simplify regression model selection amidst uncertainty.

Learn how the Deep Limit Model-free method improves predictions and uncertainty management.

This article examines how Bayesian and frequentist methods handle outliers in data analysis.

A new method improves trials for multiple treatments over time.

Learn how phase-type distributions help model positive systems across various fields.

Introducing a flexible model for estimating volatility across various fields.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

A look at the Ornstein-Uhlenbeck process and its real-world applications.

New adaptive detection algorithms improve target identification in complex environments.

A new method improves estimation of population characteristics using mixed sampling data.

A fresh approach to causal inference using flexible data collection methods.

Explore stationary-increment harmonizable stable processes and their applications in various fields.

Exploring new methods in event clustering analysis across various fields.

A look at recent methods to recover low-rank matrices with fewer observations.

This article discusses methods to handle bias in distance correlation.

A deep dive into Wasserstein projections and their applications in statistics.

A look at the significance and applications of Dickman type processes.

Learn how kurtosis affects data behavior across various fields.