Statistics

A new method reveals how marketing actions affect campaign results over time.

A new method for detecting abnormalities in brain injuries shows promising results.

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

A study reveals new methods to analyze cancer death rates in Colombia.

A new approach to analyzing political violence improves risk assessment and response strategies.

This article discusses the connection between mass-action and network models of disease spread.

A new approach improves estimates for neonatal mortality in areas with limited data.

Research on HPV's impact and vaccine strategies to reduce cervical cancer.

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

Introducing improved techniques for analyzing MCMC sample reliability.

A new tool for studying events over space and time.

Learn how Langevin dynamics improves parameter estimation over traditional methods.

A method for better decision-making under uncertainty using innovative computational techniques.

Research on HPV's impact and vaccine strategies to reduce cervical cancer.

Discover a new tool for efficient survival analysis in medical research.

SCRAMBLE enhances data analysis by managing outliers and promoting clarity.

A new method for estimating true distributions from noisy streaming data.

Meta Flow Matching enhances our understanding of cell behavior and treatment responses.

Algorithms confront bias and delays in user preference feedback.

A look at effective sampling methods for wide Bayesian Neural Networks.

Examining the role and effectiveness of privileged information in machine learning.

A look into RAI within the multi-armed bandit framework to optimize decision-making.

Discover a new approach to identifying changes in data trends.

New methods in multi-agent learning tackle challenges of diverse agents.

A new model enhances the analysis of gene expression in tissues using SRT data.

A new method for estimating true distributions from noisy streaming data.

New methods enhance subgroup identification for better-targeted medical treatments.

Introducing a robust method for hypothesis testing with corrupted data.

A new method reveals how marketing actions affect campaign results over time.

Recent advancements improve understanding of complex cell dynamics and interactions.

A new approach for handling complex data with statistical analysis.

This paper discusses methods to tackle measurement error in complex economic data analysis.

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

A new approach for handling complex data with statistical analysis.

Exploring the application of Grunbaum's inequality in complex geometric environments.

Research improves data filtering techniques for tracking cell movements.

Learn how transfer learning improves machine learning outcomes with limited data.

Improved methods for assessing Pareto type-I distribution with censored data.

This article discusses the significance of measuring uncertainty in health data analysis.

A look into variable selection methods for complex data analysis.