APPLYING BAYESIAN INVERSION WITH MARKOV CHAIN MONTE CARLO TO PEDESTRIAN DYNAMICS

Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) ◽

10.7712/120219.6322.18561 ◽

2019 ◽

Author(s):

Marion Gödel ◽

Rainer Fischer ◽

Gerta Köster

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inversion ◽

Pedestrian Dynamics

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Bayesian inversion of seismic and electromagnetic data for marine gas reservoir characterization using multi-chain Markov chain Monte Carlo sampling

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2017.10.004 ◽

2017 ◽

Vol 147 ◽

pp. 68-80 ◽

Author(s):

Huiying Ren ◽

Jaideep Ray ◽

Zhangshuan Hou ◽

Maoyi Huang ◽

Jie Bao ◽

...

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Reservoir Characterization ◽

Monte Carlo Sampling ◽

Bayesian Inversion ◽

Gas Reservoir ◽

Electromagnetic Data

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Multilevel Markov Chain Monte Carlo for Bayesian Inversion of Parabolic Partial Differential Equations under Gaussian Prior

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1354714 ◽

2021 ◽

Vol 9 (2) ◽

pp. 384-419

Author(s):

Viet Ha Hoang ◽

Jia Hao Quek ◽

Christoph Schwab

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Partial Differential Equations ◽

Differential Equations ◽

Bayesian Inversion ◽

Parabolic Partial Differential Equations ◽

Partial Differential ◽

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Bayesian Inversion of Logging-While-Drilling Extra-Deep Directional Resistivity Measurements Using Parallel Tempering Markov Chain Monte Carlo Sampling

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2917839 ◽

2019 ◽

Vol 57 (10) ◽

pp. 8026-8036 ◽

Author(s):

Lei Wang ◽

Hu Li ◽

Yiren Fan

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling ◽

Parallel Tempering ◽

Bayesian Inversion ◽

Resistivity Measurements ◽

Logging While Drilling

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Preconditioned Crank‐Nicolson Markov Chain Monte Carlo Coupled With Parallel Tempering: An Efficient Method for Bayesian Inversion of Multi‐Gaussian Log‐Hydraulic Conductivity Fields

Water Resources Research ◽

10.1029/2020wr027110 ◽

2020 ◽

Vol 56 (8) ◽

Author(s):

Teng Xu ◽

Sebastian Reuschen ◽

Wolfgang Nowak ◽

Harrie‐Jan Hendricks Franssen

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hydraulic Conductivity ◽

Efficient Method ◽

Parallel Tempering ◽

Bayesian Inversion ◽

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Geostatistical approach to bayesian inversion of geophysical data: Markov chain Monte Carlo method

Earth Planets and Space ◽

10.1186/bf03351676 ◽

2001 ◽

Vol 53 (8) ◽

pp. 777-791 ◽

Author(s):

Seok-Hoon Oh ◽

Byung-Doo Kwon

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

Geophysical Data ◽

Bayesian Inversion ◽

Geostatistical Approach

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On the applicability of surrogate-based Markov chain Monte Carlo-Bayesian inversion to the Community Land Model: Case studies at flux tower sites

Journal of Geophysical Research Atmospheres ◽

10.1002/2015jd024339 ◽

2016 ◽

Vol 121 (13) ◽

pp. 7548-7563 ◽

Author(s):

Maoyi Huang ◽

Jaideep Ray ◽

Zhangshuan Hou ◽

Huiying Ren ◽

Ying Liu ◽

...

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Case Studies ◽

Bayesian Inversion ◽

Community Land Model

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Analysis of a multilevel Markov chain Monte Carlo finite element method for Bayesian inversion of log-normal diffusions

Inverse Problems ◽

10.1088/1361-6420/ab2a1e ◽

2020 ◽

Vol 36 (3) ◽

pp. 035021

Author(s):

Viet Ha Hoang ◽

Jia Hao Quek ◽

Christoph Schwab

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inversion ◽

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Statistical Bayesian Inversion of Ultra-deep Electromagnetic LWD Data: Trans-dimensional Markov Chain Monte Carlo with Parallel Tempering

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting ◽

10.1109/apusncursinrsm.2019.8889279 ◽

2019 ◽

Author(s):

Qiuyang Shen ◽

Jiefu Chen ◽

Hanming Wang ◽

Yueqin Huang

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Parallel Tempering ◽

Bayesian Inversion

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Bayesian inversion of multi‐Gaussian log‐conductivity fields with uncertain hyperparameters: an extension of preconditioned Crank‐Nicolson Markov chain Monte Carlo with parallel tempering

Water Resources Research ◽

10.1029/2021wr030313 ◽

2021 ◽

Author(s):

Sinan Xiao ◽

Teng Xu ◽

Sebastian Reuschen ◽

Wolfgang Nowak ◽

Harrie‐Jan Hendricks Franssen

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Parallel Tempering ◽

Bayesian Inversion ◽

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Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm

Proceedings of the 7th Unconventional Resources Technology Conference ◽

10.15530/urtec-2019-659 ◽

2019 ◽

Author(s):

Sutthaporn Tripoppoom ◽

Wei Yu ◽

Kamy Sepehrnoori ◽

Jijun Miao

Keyword(s):

Neural Network ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Shale Gas ◽

History Matching ◽

Monte Carlo Algorithm ◽

Gas Well ◽

Assisted History Matching

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