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Cognitive Science, ISSN 0364-0213, 09/2017, Volume 41, Issue 7, pp. 1871 - 1903
A widespread assumption in the contemporary discussion of probabilistic models of cognition, often attributed to the Bayesian program, is that inference is... 
Probability | Subjectivism | Epistemology | Bayesian inference
Journal Article
Nous-Supplement: Philosophical Perspectives, ISSN 1520-8583, 12/2017, Volume 31, Issue 1, pp. 267 - 291
Journal Article
Molecular Biology and Evolution, ISSN 0737-4038, 04/2018, Volume 35, Issue 4, pp. 1028 - 1034
Abstract Tests of absolute model fit are crucial in model-based inference because poorly structured models can lead to biased parameter estimates. In Bayesian... 
Bayesian inference | phylogenetics | model testing | Index Medicus
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2014, Volume 15, pp. 1593 - 1623
Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC) algorithm that avoids the random walk behavior and sensitivity to correlated parameters that... 
Dual averaging | Hamiltonian Monte Carlo | Bayesian inference | Markov chain Monte Carlo | Adaptive Monte Carlo | adaptive Monte Carlo | dual averaging | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 05/2013, Volume 14, pp. 1303 - 1347
We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of... 
Bayesian nonparametrics | Topicmodels | Variational inference | Bayesian inference | Stochastic optimization | topicmodels | DISTRIBUTIONS | SAMPLING METHODS | MODEL | ALGORITHMS | variational inference | DIRICHLET | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | stochastic optimization
Journal Article
R Journal, ISSN 2073-4859, 12/2017, Volume 9, Issue 2, pp. 378 - 400
Count data can be analyzed using generalized linear mixed models when observations are correlated in ways that require random effects. However, count data are... 
REGRESSION | COUNT DATA | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ECOLOGY | STATISTICS & PROBABILITY | BAYESIAN-INFERENCE | ABUNDANCE
Journal Article
Systematic Biology, ISSN 1063-5157, 09/2018, Volume 67, Issue 5, pp. 901 - 904
Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular... 
Phylogenetics | Visualization | Bayesian inference | Markov chain Monte Carlo | EVOLUTIONARY BIOLOGY | visualization | MAXIMUM-LIKELIHOOD | phylogenetics | MODEL | PARAMETERS | INFERENCE | POPULATION-DYNAMICS | Markov Chains | Bayes Theorem | Models, Genetic | Software | Phylogeny | Monte Carlo Method | Evolution, Molecular | Index Medicus | Software for Systematics and Evolution
Journal Article
Journal of Mechanical Design, ISSN 1050-0472, 02/2018, Volume 140, Issue 2, pp. 021403 - 021403-11
Simulation models are widely used to describe processes that would otherwise be arduous to analyze. However, many of these models merely provide an estimated... 
VALIDATION | CALIBRATION | BAYESIAN-INFERENCE | ENGINEERING, MECHANICAL
Journal Article
Progress in Nuclear Energy, ISSN 0149-1970, 01/2020, Volume 118, p. 103070
This work aims to reconstruct the neutron radiation field on nuclear facilities by Bayesian inference. Firstly, the net function interpolation method is used... 
Reconstruction | Interpolation | Bayesian inference | Radiation field
Journal Article
2010, Wiley series in computational statistics, ISBN 0470748265, xix, 357
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an... 
Markov processes | Monte Carlo method
Book
ANALYTICAL CHEMISTRY, ISSN 0003-2700, 02/2019, Volume 91, Issue 3, pp. 1944 - 1953
Recently, we introduced the use of techniques drawn from Bayesian statistics to recover kinetic and thermodynamic parameters from voltammetric data and were... 
CHEMISTRY, ANALYTICAL | ELECTRON-TRANSFER | GLASSY-CARBON | BAYESIAN-INFERENCE
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 80, Issue 1, pp. 1 - 28
The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions... 
MCMC | Stan | R | Bayesian inference | Multilevel model | Ordinal data | multilevel model | ordinal data | ITEM RESPONSE | LINEAR MIXED MODELS | BROWNE | STATISTICS & PROBABILITY | DISTRIBUTIONS | Stan R | ARTICLE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CONJUGATE
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 01/2017, Volume 18, pp. 1 - 45
Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis, and repeats. However,... 
Approximate inference | Bayesian inference | Probabilistic programming | approximate inference | probabilistic programming | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 2019, pp. 1 - 33
Journal Article
Neural Networks, ISSN 0893-6080, 10/2019, Volume 118, pp. 159 - 166
Nagata et al. proposed a parameter estimation method using Markov chain Monte Carlo (MCMC) for the spectral deconvolution of observed data. However, a... 
MCMC | Spectral deconvolution | Bayesian inference | Exchange Monte Carlo | Index Medicus
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2015, Volume 37, Issue 3, pp. A1410 - A1435
Journal Article
Computer Physics Communications, ISSN 0010-4655, 06/2019, Volume 239, pp. 161 - 165
Bayesian inference is a widely used and powerful analytical technique in fields such as astronomy and particle physics but has historically been underutilized... 
Bayesian inference | Photovoltaics | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PHYSICS, MATHEMATICAL | Astronomy
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 8/2018, pp. 1 - 1
Ticker is a novel probabilistic stereophonic single-switch text entry method for visually-impaired users with motor disabilities who rely on single-switch... 
single-switch systems | Bayesian inference | accessibility | augmentative and alternative communication
Journal Article
Physical Review D, ISSN 1550-7998, 2015, Volume 91, Issue 4
The Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a... 
ASTRONOMY & ASTROPHYSICS | SIGNALS | RADIATION | EFFICIENT | BAYESIAN-INFERENCE | LIKELIHOOD | CHAIN MONTE-CARLO | TOOL | PHYSICS, PARTICLES & FIELDS | Gravitation | Neutron stars | Algorithms | Binary stars | Detectors | Binary systems | Sampling | Computer programs
Journal Article
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