Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
PLoS ONE, 2017 Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani +4 more
doaj +1 more source
Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy [PDF]
Astrophysical Journal Supplement Series, 2018 Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. It is the method by which gravitational-wave data is used to infer the sources’ astrophysical properties. We introduce a user-friendly Bayesian inference library
G. Ashton +20 more
semanticscholar +1 more source
Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion) [PDF]
, 2020 Congratulations to Hahn, Murray and Carvalho on a nice contribution. The authors propose the Bayesian causal forest (BCF) model. It reduces the bias and improves frequentist coverage of Bayesian credible intervals of treatment effect estimates in the ...
Liangyuan Hu
semanticscholar +1 more source
Bayesian inference for CoVaR [PDF]
, 2013 Recent financial disasters emphasised the need to investigate the consequence associated with the tail co-movements among institutions; episodes of contagion are frequently observed and increase the probability of large losses affecting market participants' risk capital.
BERNARDI, MAURO +2 more
openaire +4 more sources
Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Systematic Biology, 2018 Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data.
A. Rambaut +4 more
semanticscholar +1 more source
Bayesian inference for the extremal dependence [PDF]
Electronic Journal of Statistics, 2016 A simple approach for modeling multivariate extremes is to consider the vector of component-wise maxima and their max-stable distributions. The extremal dependence can be inferred by estimating the angular measure or, alternatively, the Pickands dependence function.
MARCON, GIULIA +2 more
openaire +5 more sources
The material-weight illusion is a Bayes-optimal percept under competing density priors [PDF]
PeerJ, 2018 The material-weight illusion (MWI) is one example in a class of weight perception illusions that seem to defy principled explanation. In this illusion, when an observer lifts two objects of the same size and mass, but that appear to be made of different ...
Megan A.K. Peters +2 more
doaj +2 more sources
Massively parallel Bayesian inference for transient gravitational-wave astronomy
Monthly notices of the Royal Astronomical Society, 2020 Understanding the properties of transient gravitational waves (GWs) and their sources is of broad interest in physics and astronomy. Bayesian inference is the standard framework for astrophysical measurement in transient GW astronomy.
Rory J. E. Smith +3 more
semanticscholar +1 more source
Bayesian inference for radio observations [PDF]
Monthly Notices of the Royal Astronomical Society, 2015 Published in MNRAS.
Lochner Michelle +16 more
openaire +7 more sources
Bayesian Inference for Acoustic Direction of Arrival Analysis Using Spherical Harmonics
Entropy, 2019 This work applies two levels of inference within a Bayesian framework to accomplish estimation of the directions of arrivals (DoAs) of sound sources. The sensing modality is a spherical microphone array based on spherical harmonics beamforming.
Ning Xiang, Christopher Landschoot
doaj +1 more source