Statistics

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.

Human activities are impacting narwhals' behavior through increased noise in their habitat.

New methods enhance accuracy in predicting extreme events across various fields.

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.

Discover how neural models improve option pricing accuracy and flexibility.

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

New models simplify handling of function-based data in various fields.

Exploring methods to predict future events from constantly flowing data.

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

A new model for managing item dependencies in customer behavior prediction.

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

This article examines metaconsistency in statistical models for unpredictable systems.

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.

New techniques using gamma family distribution improve privacy in sensitive datasets.

Examining dependencies and mean effects for improved modelling accuracy.

Learn how to effectively manage A/B experiment settings for reliable results.

Learn how continuous analysis impacts A/B testing results and decision-making.

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.

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.

Exploring how stock price correlation varies throughout the trading day.

New insights into diffusion models enhance their efficiency and adaptability in data generation.

An overview of the UCB algorithm and its stability in data collection.