Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. [PDF]
Neuroimage, 2022 Bayer JMM +8 more
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Testing Bayesian models of belief updating in the context of depressive symptomatology. [PDF]
Int J Methods Psychiatr Res, 2023 Feldmann M +3 more
europepmc +1 more source
Bayesian analysis of DSGE models [PDF]
This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models.
Frank Schorfheide, Sungbae An
core
Hierarchical Summary Statistics Encoding Across Primary Visual and Posterior Parietal Cortices
Advanced Science, EarlyView.This study shows that mouse V1 simultaneously encodes the ensemble mean and variance of motion, providing a robust summary‐statistic representation that persists despite single‐neuron variability. These signals propagate to PPC, where they are transformed into abstract category representations during decision making.
Young‐Beom Lee +4 more
wiley +1 more source
Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics. [PDF]
Pac Symp Biocomput, 2023 Kidd B, Wang K, Xu Y, Ni Y.
europepmc +1 more source
Predicting the term structure of interest rates incorporating parameter uncertainty, model uncertainty and macroeconomic information [PDF]
We forecast the term structure of U.S. Treasury zero-coupon bond yields by analyzing a range of models that have been used in the literature. We assess the relevance of parameter uncertainty by examining the added value of using Bayesian inference ...
De Pooter, Michiel +2 more
core +1 more source
Advanced Science, EarlyView.Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim +7 more
wiley +1 more source
Bayesian Neural Networks via MCMC: A Python-Based Tutorial
IEEE AccessBayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain Monte-Carlo (MCMC) sampling methods are used to implement Bayesian ...
Rohitash Chandra, Joshua Simmons
doaj +1 more source
Integrative Bayesian models using Post-selective inference: A case study in radiogenomics. [PDF]
Biometrics, 2023 Panigrahi S +3 more
europepmc +1 more source