Statistics

Study examines medication and health conditions impacting diabetes management.

Analyzing label bias and its impact on research outcomes using Bayesian models.

A new model measures unhealthy behaviors linked to cancer across Australian communities.

Using SCADA data to enhance predictions and detect performance issues in wind turbines.

Evaluating strategies for monitoring and managing structural deterioration for improved safety.

Strategies to enhance model performance amidst data distribution shifts.

A look at methods for accurately assessing treatment impacts.

A new method improves clarity in analyzing gene interactions using machine learning.

An efficient method for fitting complex models using probabilistic data.

A new method improves outlier detection and estimation in multi-dimensional datasets.

A new score measures publication impact by balancing citations and publication age.

A method for restoring clarity in blurred images through statistical techniques.

Introducing a method to improve Bayesian analysis efficiency in complex systems.

A method for simultaneous learning and evaluation of policies using all available data.

Learn effective methods for tuning scale matrices in Hamiltonian Monte Carlo sampling.

Discover how new methods improve efficiency in complex scientific problems.

A new approach to make high-dimensional data easier to manage.

Examining how information shapes decision-making in complex situations.

Learn effective methods for addressing the sleeping bandit problem in decision-making.

Exploration is key for effectively training agents in multitask reinforcement learning.

Examining the emergence of features in image and audio generation models.

A new method enhances efficiency in reinforcement learning through accurate policy gradient estimation.

A new method enhances OOD detection by focusing on gradient information.

A novel approach to regression using Deep Horseshoe Gaussian Processes for improved variable selection.

A new method improves uncertainty estimation in statistical models.

New method improves safety and reliability in drug trial dosing.

Analyzing label bias and its impact on research outcomes using Bayesian models.

A new method improves moment estimation with less computation and greater accuracy.

Strategies to enhance model performance amidst data distribution shifts.

A look at methods for accurately assessing treatment impacts.

A new method enhances hyperspectral image labeling for better food quality assessment.

A new method improves outlier detection and estimation in multi-dimensional datasets.

Learn how to analyze and manage risks in finance and business.

Methods to improve location estimation amid skewed data and outliers.

A method to choose the best variables for clearer data analysis.

Learn how new methods improve predictions for random events and outcomes.

A comparison of distance measures for effective clustering analysis.

A clear look at why switching doors is the winning strategy.

A project to improve survey representation of underrepresented groups in Liguria.

This article discusses methods for estimating changing parameters in dynamic systems using real-time data.

This study examines how networks grow using clustering attachment methods.

A novel approach to regression using Deep Horseshoe Gaussian Processes for improved variable selection.

A deep dive into multilayer networks and their real-world applications.

Learn how heavy-tailed noise enhances privacy in machine learning models.

A deep dive into methods for estimating the mean of probability distributions.

This article explores how conformal prediction enhances decision-making in uncertain environments.

This article examines online learning systems and their challenges regarding unknown constraints.

New methods improve modeling and predictions in statistics using kernel ridge regression.