A Monte Carlo approach to quantifying model error in Bayesian parameter estimation

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2014.10.008 ◽

2015 ◽

Vol 83 ◽

pp. 168-181 ◽

Cited By ~ 2

Author(s):

Staci A. White ◽

Radu Herbei

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Model Error ◽

Bayesian Parameter Estimation ◽

Monte Carlo Approach

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A Quasi-Monte Carlo Approach to Bayesian Parameter Estimation for Nonlinear Dynamic Process Models

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN ◽

10.1252/jcej.12we202 ◽

2013 ◽

Vol 46 (7) ◽

pp. 467-479 ◽

Cited By ~ 1

Author(s):

Shigeru Kashiwaya

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Dynamic Process ◽

Nonlinear Dynamic ◽

Process Models ◽

Bayesian Parameter Estimation ◽

Monte Carlo Approach ◽

Quasi Monte Carlo

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Bayesian Parameter Estimation: A Monte Carlo Approach

Computational Science — ICCS 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-45545-0_93 ◽

2001 ◽

pp. 812-822

Author(s):

Ray Gallagher ◽

Tony Doran

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Bayesian Parameter Estimation ◽

Monte Carlo Approach

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Collimator design optimization using Monte Carlo simulation and Bayesian parameter estimation

IEEE Conference on Nuclear Science Symposium and Medical Imaging ◽

10.1109/nssmic.1992.301450 ◽

2003 ◽

Author(s):

S.C. Moore ◽

D.J. DeVries ◽

B. Nandram ◽

B.J. Dardzinski ◽

M.F. Kijewski ◽

...

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Parameter Estimation ◽

Design Optimization ◽

Bayesian Parameter Estimation

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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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Effect of Data Type on Thermodynamic Model Parameter Estimation: A Monte Carlo Approach

Industrial & Engineering Chemistry Research ◽

10.1021/ie970444c ◽

1998 ◽

Vol 37 (3) ◽

pp. 1122-1129 ◽

Cited By ~ 4

Author(s):

Victor R. Vasquez ◽

Wallace B. Whiting

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Thermodynamic Model ◽

Data Type ◽

Model Parameter ◽

Monte Carlo Approach ◽

Model Parameter Estimation

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Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo

Information Sciences ◽

10.1016/j.ins.2015.08.002 ◽

2016 ◽

Vol 326 ◽

pp. 334-349 ◽

Cited By ~ 1

Author(s):

Ying Liu ◽

Chunguang Li

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Parameter Estimation ◽

Complex Valued

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Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model

Physical Review E ◽

10.1103/physreve.86.041114 ◽

2012 ◽

Vol 86 (4) ◽

Cited By ~ 7

Author(s):

Anders Chr. Jensen ◽

Susanne Ditlevsen ◽

Mathieu Kessler ◽

Omiros Papaspiliopoulos

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Approach

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Bayesian model selection and parameter estimation for possibly asymmetric and non-stationary time series using a reversible jump Markov chain Monte Carlo approach

Journal of Applied Statistics ◽

10.1080/02664760120098829 ◽

2002 ◽

Vol 29 (5) ◽

pp. 771-789 ◽

Cited By ~ 3

Author(s):

Man-Suk Oh ◽

Dong Wan Shin

Keyword(s):

Time Series ◽

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Selection ◽

Bayesian Model ◽

Stationary Time Series ◽

Reversible Jump ◽

Monte Carlo Approach

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A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks

PLoS ONE ◽

10.1371/journal.pone.0182015 ◽

2017 ◽

Vol 12 (8) ◽

pp. e0182015 ◽

Cited By ~ 2

Author(s):

Inés P. Mariño ◽

Alexey Zaikin ◽

Joaquín Míguez

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Stochastic Models ◽

Genetic Networks ◽

Estimation Methods ◽

Bayesian Parameter Estimation ◽

Parameter Estimation Methods

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Parameter estimation for reactive transport by a Monte-Carlo approach

AIChE Journal ◽

10.1002/aic.10813 ◽

2006 ◽

Vol 52 (6) ◽

pp. 2281-2289 ◽

Cited By ~ 8

Author(s):

Mohit Aggarwal ◽

Jérôme Carrayrou

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Reactive Transport ◽

Monte Carlo Approach

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