Bayesian inference along Markov Chain Monte Carlo approach for PWR core loading pattern optimization

Annals of Nuclear Energy ◽

10.1016/j.anucene.2012.07.012 ◽

2012 ◽

Vol 50 ◽

pp. 150-157 ◽

Cited By ~ 1

Author(s):

A. Haghighattalab ◽

A. Minuchehr ◽

A. Zolfaghari ◽

F. Khoshahval

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Approach ◽

Loading Pattern

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Automated Sensitivity Analysis for Bayesian Inference via Markov Chain Monte Carlo: Applications to Gibbs Sampling

SSRN Electronic Journal ◽

10.2139/ssrn.2984054 ◽

2018 ◽

Cited By ~ 3

Author(s):

Liana Jacobi ◽

Mark Joshi ◽

Dan Zhu

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Gibbs Sampling

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A Markov Chain Monte Carlo Approach to Nonlinear Parametric System Identification

IEEE Transactions on Automatic Control ◽

10.1109/tac.2014.2380997 ◽

2015 ◽

Vol 60 (9) ◽

pp. 2542-2546 ◽

Cited By ~ 3

Author(s):

Er-Wei Bai ◽

Hideaki Ishii ◽

Roberto Tempo

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

System Identification ◽

Monte Carlo Approach ◽

Parametric System

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Markov Chain Monte Carlo: stochastic simulation for Bayesian inference (2nd edn). Dani Gamerman and Hedibert F. Lopes, Chapman & Hall/CRC, Boca Raton, FL, 2006. No. of pages: xvii +323. Price: $69.95. ISBN10: 1‐58488‐587‐4, ISBN13: 978‐1‐58488‐587‐0

Statistics in Medicine ◽

10.1002/sim.3240 ◽

2008 ◽

Vol 27 (16) ◽

pp. 3213-3214

Author(s):

Gareth Peters

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Stochastic Simulation

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Bayesian inference of preferential seepage path by gradient-based Markov Chain Monte Carlo

Japanese Geotechnical Society Special Publication ◽

10.3208/jgssp.v08.j44 ◽

2020 ◽

Vol 8 (3) ◽

pp. 59-63

Author(s):

Kazunori Fujisawa ◽

Michael Koch ◽

Akira Murakami

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Gradient Based

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An adaptive scheme for reliability-based global design optimization: A Markov chain Monte Carlo approach

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.106836 ◽

2020 ◽

Vol 143 ◽

pp. 106836 ◽

Cited By ~ 1

Author(s):

H.A. Jensen ◽

D.J. Jerez ◽

M. Valdebenito

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Design Optimization ◽

Adaptive Scheme ◽

Monte Carlo Approach ◽

Global Design Optimization

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Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach

SSRN Electronic Journal ◽

10.2139/ssrn.673501 ◽

2005 ◽

Author(s):

Manuel Ammann ◽

Michael Verhofen

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Asset Pricing ◽

Pricing Models ◽

Monte Carlo Approach ◽

Asset Pricing Models ◽

Conditional Asset Pricing

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A Markov Chain Monte Carlo Approach to Stereovision

Computer Vision — ECCV 2002 - Lecture Notes in Computer Science ◽

10.1007/3-540-47977-5_7 ◽

2002 ◽

pp. 97-111 ◽

Cited By ~ 2

Author(s):

Julien Sénégas

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Approach

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Adaptive Markov chain Monte Carlo algorithms for Bayesian inference: recent advances and comparative study

Structure and Infrastructure Engineering ◽

10.1080/15732479.2019.1628077 ◽

2019 ◽

Vol 15 (11) ◽

pp. 1548-1565 ◽

Cited By ~ 1

Author(s):

Seung-Seop Jin ◽

Heekun Ju ◽

Hyung-Jo Jung

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Comparative Study ◽

Monte Carlo Algorithms ◽

Recent Advances

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River water quality modelling and simulation based on Markov Chain Monte Carlo computation and Bayesian inference model

African Journal of Science Technology Innovation and Development ◽

10.1080/20421338.2019.1692460 ◽

2020 ◽

Vol 12 (6) ◽

pp. 771-785 ◽

Cited By ~ 1

Author(s):

Mrunmayee Manjari Sahoo ◽

Kanhu Charan Patra

Keyword(s):

Water Quality ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Water Quality Modelling ◽

Inference Model ◽

Monte Carlo Computation ◽

Simulation Based ◽

River Water Quality Modelling

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Maximum likelihood parameter estimation of multiple chirp signals by a new Markov chain Monte Carlo approach

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat No 04CH37509) NRC-04 ◽

10.1109/nrc.2004.1316487 ◽

2004 ◽

Cited By ~ 2

Author(s):

Y. Lin ◽

Y. Peng ◽

X. Wang

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Maximum Likelihood ◽

Monte Carlo Approach ◽

Chirp Signals

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