Bayesian Basics

From Cox's Foundation of Probability Theory to Physics

Computational Inference

Conservative Probabilistic Inference in Quantum Mechanics

The Arithmetic of Maths and Physics

Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States

Nested Sampling for Exploring Lennard - Jones Clusters

The Scaling Frontier of Nested Sampling

Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior

On Singular Bayesian Inference of Underdetermined Quantities

The Value of Information in Economic Contexts

Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis

A note on maximum entropy multivariate density estimation

REVISITING OUTLIER-ROBUST SURROGATE MODELING

Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak

Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO

Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems

Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data

Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference

E-Values Analysis in Computational Science

The E-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences

Nonparametric FBST for Validating Linear Models

Nonparametric Full Bayesian Significance Testing for Bayesian Histograms

Sensor Fusion Approaches in Automotive Perception

Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting

Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems

Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics

Bayesian Regularization for Dynamical System Identification

Inverse Bayesian Methods for Groundwater Vulnerability Assessment

Weighted Average of Scattered Data: a Bayesian Approach

An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference

Bayesian Deep Learning for Infrared Image Segmentation

Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy

Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology

Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra

Automatic Modelling and Object Identification in Radio Astronomy

Rational Responses to Extraordinary Hypotheses

A Superstatistical Measure of Distance from Canonical Equilibrium

Exploring Quantized Entropy Production Strength in Mesoscopic Irreversible Thermodynamics

Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles

E Is the New P

Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds

Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy

Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues

The Maximum Entropy Method in Turbulence Research