Lifetime PCB 153 bioaccumulation and pharmacokinetics in pilot whales: Bayesian population PBPK modeling and Markov chain Monte Carlo simulations

Chemosphere ◽

10.1016/j.chemosphere.2013.09.019 ◽

2014 ◽

Vol 94 ◽

pp. 91-96 ◽

Author(s):

Liesbeth Weijs ◽

Anthony C. Roach ◽

Raymond S.H. Yang ◽

Robin McDougall ◽

Michael Lyons ◽

...

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Pbpk Modeling ◽

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Application of Bayesian Population Physiologically Based Pharmacokinetic (PBPK) Modeling and Markov Chain Monte Carlo Simulations to Pesticide Kinetics Studies in Protected Marine Mammals: DDT, DDE, and DDD in Harbor Porpoises

Environmental Science & Technology ◽

10.1021/es400386a ◽

2013 ◽

Vol 47 (9) ◽

pp. 4365-4374 ◽

Author(s):

Liesbeth Weijs ◽

Raymond S. H. Yang ◽

Krishna Das ◽

Adrian Covaci ◽

Ronny Blust

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Marine Mammals ◽

Pbpk Modeling ◽

Kinetics Studies ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

Harbor Porpoises

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Acceleration of Markov chain Monte Carlo simulations through sequential updating

The Journal of Chemical Physics ◽

10.1063/1.2168455 ◽

2006 ◽

Vol 124 (6) ◽

pp. 064109 ◽

Author(s):

Ruichao Ren ◽

G. Orkoulas

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Sequential Updating

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Analysis in Industrial Applications using Markov Chain Monte Carlo Simulations

International Journal of Computational and Theoretical Statistics ◽

10.12785/ijcts/020106 ◽

2015 ◽

Vol 2 (1) ◽

pp. 49-66

Author(s):

Pranesh Kumar, et al.

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Industrial Applications

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All-order PMD outage probability evaluation by Markov chain Monte Carlo Simulations

IEEE Photonics Technology Letters ◽

10.1109/lpt.2005.849972 ◽

2005 ◽

Vol 17 (7) ◽

pp. 1417-1419 ◽

Author(s):

M. Secondini ◽

E. Forestieri

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Outage Probability ◽

Probability Evaluation

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INTRODUCTION TO MARKOV CHAIN MONTE CARLO SIMULATIONS AND THEIR STATISTICAL ANALYSIS

Markov Chain Monte Carlo - Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore ◽

10.1142/9789812700919_0001 ◽

2005 ◽

pp. 1-52 ◽

Author(s):

Bernd A. Berg

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Statistical Analysis ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations

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Distance between configurations in Markov chain Monte Carlo simulations

Journal of High Energy Physics ◽

10.1007/jhep12(2017)001 ◽

2017 ◽

Vol 2017 (12) ◽

Author(s):

Masafumi Fukuma ◽

Nobuyuki Matsumoto ◽

Naoya Umeda

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations

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Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations

Climate Dynamics ◽

10.1007/s00382-019-04702-7 ◽

2019 ◽

Vol 53 (3-4) ◽

pp. 1613-1636 ◽

Author(s):

S. Wang ◽

Y. Wang

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

High Resolution ◽

Monte Carlo Simulations ◽

Climate Modeling

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Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models

SIAM Journal on Scientific Computing ◽

10.1137/050628568 ◽

2006 ◽

Vol 28 (2) ◽

pp. 776-803 ◽

Author(s):

Y. Efendiev ◽

T. Hou ◽

W. Luo

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Coarse Scale ◽

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Assessing Convergence of Markov Chain Monte Carlo Simulations in Hierarchical Bayesian Models for Population Pharmacokinetics

Annals of Biomedical Engineering ◽

10.1114/b:abme.0000039363.94089.08 ◽

2004 ◽

Vol 32 (9) ◽

pp. 1300-1313 ◽

Author(s):

Michael G. Dodds ◽

Paolo Vicini

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Simulations ◽

Population Pharmacokinetics ◽

Bayesian Models ◽

Hierarchical Bayesian ◽

Hierarchical Bayesian Models

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Combined state and parameter identification of nonlinear structural dynamical systems based on Rao-Blackwellization and Markov chain Monte Carlo simulations

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2017.09.035 ◽

2018 ◽

Vol 102 ◽

pp. 364-381 ◽

Author(s):

S. Abhinav ◽

C.S. Manohar

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Dynamical Systems ◽

Parameter Identification ◽

Monte Carlo Simulations ◽

Nonlinear Structural

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