Latest Articles for Bayesian

Explore how uncertainty affects machine learning predictions and methods to measure it.

New methods improve understanding of treatment effects on patient health.

This work introduces a method to analyze time series data and detect anomalies in water treatment processes.

This method uses a Bayesian approach for accurate user activity predictions in online testing.

This study enhances decision-making in limited exploration scenarios using prior information.

Procoli simplifies the calculation of profile likelihoods in cosmology.

Introducing Nonparametric Transfer Learning for better adaptability in data shifts.

A new Bayesian framework improves image quality and estimates uncertainty.

Introducing BREATH, a new tool for analyzing disease transmission using whole-genome sequencing data.

A fresh method for grouping data based on density and uncertainty.

A novel approach improves analysis of pollution's impact on health outcomes.

Researchers use Conformal Prediction to enhance gravitational-wave signal detection accuracy.

Learn to improve optimization using simpler models combined with high-quality data.

A look at how different statistical methods affect uncertainty in nuclear science.

A study on improving transfer learning performance using Bayesian methods.

New methods improve signal capture and data interpretation in radio astronomy.

Bayesian methods improve detection of 21 cm signal from neutral hydrogen.

Innovative methods improve understanding of radio emissions from the universe.

A critical look at the Monte Carlo replica method's reliability in parameter estimation.

A new method uses basic sensors to create detailed maps for autonomous vehicles.

Research shows promise for combining epinephrine and dexamethasone in treating bronchiolitis.

New models challenge traditional views on ecosystem stability and dynamics.

This article investigates how different economic sectors impact income inequality in the U.S.

Introducing a Bayesian method to analyze smoking cessation patterns week by week.

This study investigates how ionising photons escape from star-forming galaxies.

Discover the essentials of Kalman filters for state estimation in dynamic systems.

Investigating how LLM predictions align with human choices using statistical modeling.

This study focuses on refining models to simulate neuronal growth using Bayesian methods.

A new method helps agents learn from experts despite missing information.

New techniques improve analysis of gravitational waves using pulsar timing arrays.

Analyzing High-Altitude Electromagnetic Pulses' impact on the electric power grid.

A new approach improves treatment strategies by considering individual patient needs.

Discover how heavy-tailed weights enhance deep neural networks' adaptability and performance.

A guide to the Inlamemi R package for handling data challenges.

A fresh method to compare privacy mechanisms in machine learning.

Using Bayesian methods to improve treatment effect estimates in medical research.

This article introduces ValueWalk, a method for improving computer learning from expert behavior.

Introducing a Bayesian approach to improve variable selection in regression models.

Simplifying spatial data analysis with directed graphical models for yes/no outcomes.

Bayesian methods improve data analysis speed and accuracy for large datasets.