Latest Articles for Bayesian Inference

A method to improve fairness in algorithm predictions affecting people's lives.

A study on how extreme swimming performances can predict future records.

Utilizing the Extended Kalman Filter for accurate quantum gate error estimation.

A new method enhances classification of body fluids for criminal investigations.

Exploring how biological systems process information through Bayesian inference.

New technologies improve radar systems' ability to detect spoofing attempts.

Gravitational waves reveal insights into black holes and gravity theories.

A new method for effective vaccine allocation during epidemics by addressing uncertainty.

This article explores how mathematical models track virus transmission.

Analyzing how training and test data similarity impacts uncertainty in model predictions.

Robust methods improve analysis of one-shot devices and their failure rates.

This paper discusses Bayesian Flow Networks and their effectiveness in data generation.

Monte Carlo methods enhance predictions in physics, addressing challenges in simulations and parameter optimization.

Exploring how brain circuits enhance learning and information processing.

Studying gravitational waves reveals insights into star explosions and their aftermath.

Robots use Bayesian methods to gather data safely in unpredictable environments.

New models generate realistic data across various fields and applications.

Introducing a flexible model for analyzing complex spherical time series data.

Effective techniques to address noise in quantum computers ensure precision in calculations.

A method for accurate data estimation using device collaboration.

Researchers utilize quasars to study the intergalactic medium and metal distribution.

A faster technique improves parameter estimation of gravitational waves.

Redback software aids astronomers in analyzing transient cosmic events.

This research focuses on incorporating uncertainty into predictions using Bayesian inference.

Exploring new methods for accurate device location determination.

New method improves identification of crystalline structures using X-ray diffraction data.

Understanding how statistical methods apply to brain activity and learning processes.

How Bayesian statistics aids in analyzing experimental data in physics.

Research sheds light on mass ratios of single-line binary stars.

Improving Bayesian inference methods for ultrametric matrices in complex data analysis.

Scientists are creating detailed maps of hydrogen gas in the Galaxy using advanced techniques.

New techniques improve Bayesian inference in complex, high-dimensional systems.

A model for understanding extreme values in various disasters.

A new method helps robots interpret human commands more effectively.

Analyzing neutrinos can reveal much about supernova explosions and the universe.

Exploring the benefits and challenges of Compton imaging for radiation detection.

A look at the linear model of coregionalization for analyzing spatial data.

A new approach to filtering complex systems using Gaussian PSD Models.

A study on new methods to analyze sea temperature data from 1982 to 2012.

A new emulator speeds up the study of kilonovae light curves.