Statistics

Combining mechanistic and machine learning models for better glucose predictions.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

Learn how scenario analysis helps leaders make informed choices.

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.

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.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

A powerful language model for diverse applications across multiple languages.

New methods enhance the design process for DNA and protein sequences.

This article examines issues in AI learning due to limited human feedback.

This research enhances decision-making under uncertainty using batch learning and dynamic strategies.

A new method shows variational learning can excel in training complex models.

A new method to assess novelty in generative AI outputs.

A guide to improving associative memory using gradient descent methods.

Introducing a flexible method to assess INAR model fit without strict assumptions.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

Combining mechanistic and machine learning models for better glucose predictions.

Innovative techniques improve data comparison in childhood obesity research.

BGWSR improves predictions in spatial data analysis using innovative statistical methods.

A new method for identifying changes in compositional time series data.

Introducing VOROS, a method for improving classifier performance assessment in imbalanced scenarios.

The study investigates how people perceive relational networks through graphs.

This article examines how gamification boosts student engagement in flipped classrooms.

A novel analysis method enhances the understanding of chronic diseases and health factors.

Examining the impact of academic skills on university enrollment in Italy.

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.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

This research enhances decision-making under uncertainty using batch learning and dynamic strategies.

A new method for identifying changes in compositional time series data.

Introducing VOROS, a method for improving classifier performance assessment in imbalanced scenarios.

A method to tackle unobserved variables in research for clearer insights.

New semi-supervised method enhances statistical estimation with unlabeled data.

A new approach to combine data from separate biological measurements.

This study examines how networks grow using clustering attachment methods.