Latest Articles for Bayesian Methods

This study examines methods to predict starvation resistance using genetic and functional data.

A look into factor analysis and its role in identifying relationships among variables.

New methods in forecasting enhance scientific predictions and efficiency.

This article examines non-genetic risk factors impacting health, focusing on COVID-19.

A look at how muography reveals underground structures using muons.

New methods combine structured and unstructured data for better predictions.

A new Bayesian approach improves methods for learning DAG structures from data.

A method for simplifying concrete modeling in nuclear plants enhances safety and efficiency.

Researchers are turning to Bayesian methods for better data analysis at the LHC.

New methods improve current density mapping from magnetic field data.

Learn techniques for simplifying high-dimensional data to understand extreme values better.

A new framework improves reliability and uncertainty estimation in medical image segmentation.

A study on how scrubbers affect air pollution levels in coal-fired power plants.

Combining survey data for better insights and reliable estimates.

Researchers develop methods to improve calibration of black hole and galaxy models.

A novel approach enhances understanding of biological inheritance over generations.

Enhanced methods for estimating cyclone wind speeds using satellite data.

Introducing EBARS for optimal knot selection in multivariate spline regression.

New method improves reliability in measuring uncertainty in predictive models.

Explore methods for handling sparse high-dimensional data in regression analysis.

A look at nonparametric regression methods using geometric graphs and Bayesian approaches.

Examining methods to analyze jets from high-energy particle collisions.

A method to enhance model accuracy by accounting for uncertainty in variables.

Research improves models by addressing uncertainty in Universal Differential Equations.

A new method combines Bayesian predictions and vine copulas for improved data analysis.

Discover how mixture priors can enhance analysis of replication studies.

A look at the benefits of expectation propagation for statistical analysis.

Introducing a flexible approach to understand relationships using observational data.

A guide on how finite mixture models assist in grouping and estimating data patterns.

Explore the impact of historical control data in toxicology studies.

A method to identify significant shifts in data over time.

This study improves economic predictions using Bayesian methods and a stochastic block model.

A new Bayesian approach enhances modeling of complex systems and their dynamics.

A look at how conformal prediction improves uncertainty quantification in biology.

New techniques improve subsurface modeling and uncertainty assessment in geoscience.

A new method improves image reconstruction in noisy medical data.

Scientists revolutionize brain imaging with Simulation-Based Inference, improving speed and accuracy.

A new approach to accurately match records in error-prone datasets.

Enhancing predictions through weighted Test-Time Augmentation methods.

Researchers develop an efficient way to study species interactions with environmental factors.