Statistics

A method to better understand how different groups are impacted in studies.

New scoring methods improve disease risk prediction for better patient care.

Examining public transit access for low-income riders in Greater Boston.

A study on handwriting difficulties in kids and how technology aids diagnosis.

This study evaluates how slight changes impact language model responses.

This paper addresses the need for fairness in AI systems.

A method for stable and reliable identification of communities in networks.

Analyzing the impact of real-time models during the COVID-19 pandemic.

A look at RapPCA, a method improving how we handle complex data.

New techniques improve value estimation from Markov chain data.

Researchers introduce a new method for identifying trends in psychological data over time.

New methods speed up analysis of species interactions using ecological data.

Examining the impact of data removal on MCMC analysis conclusions.

Explore the significance of acceptance rate in the Metropolis algorithm for sampling.

A new approach to quantify risks in systems with uncertain parameters using Gaussian mixtures.

A look at using statistical models to evaluate athlete performance.

This article sheds light on the critical role of uncertainty in AI.

Exploring certified unlearning and its role in data privacy protection.

A new method improves understanding of gene expression in tissues.

Understanding how insurance firms adjust offers to meet goals.

Integrating uncertainty quantification in DeepONet enhances predictions in complex physical systems.

This study examines counterfactual explanations and the impact of balancing techniques on student success predictions.

Discover how neural models improve option pricing accuracy and flexibility.

Exploring new methods for fair decision-making in machine learning systems.

A method to better understand how different groups are impacted in studies.

Learn effective AB testing strategies to enhance decision-making and outcomes.

A new approach to uncover causal relationships using pairwise analysis.

New scoring methods improve disease risk prediction for better patient care.

A look at RapPCA, a method improving how we handle complex data.

A new method for confidently identifying optimal choices from noisy data.

Research reveals new blood markers improve survival predictions for metastatic prostate cancer.

Using matrix completion to improve time-series data accuracy.

A study on how information travels through social networks with community structures.

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 study on improving parameter estimation in quantum systems using advanced techniques.

A method to better understand how different groups are impacted in studies.

Study of connections in networks through random geometric graphs.

This article explains Kernel Ridge Regression and its relevance in machine learning.

This article examines metaconsistency in statistical models for unpredictable systems.

A deep dive into methods for estimating banded and sparse covariance operators.

A new method for confidently identifying optimal choices from noisy data.

New methods enhance statistical analysis of non-stationary time series data.