Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

Advances in Water Resources ◽

10.1016/j.advwatres.2020.103614 ◽

2020 ◽

Vol 141 ◽

pp. 103614

Author(s):

Sebastian Reuschen ◽

Teng Xu ◽

Wolfgang Nowak

Keyword(s):

Parallel Tempering ◽

Bayesian Inversion ◽

Geostatistical Models

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Dimension reduction for integrating data series in Bayesian inversion of geostatistical models

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-019-01697-9 ◽

2019 ◽

Vol 33 (7) ◽

pp. 1327-1344

Author(s):

Heather Savoy ◽

Falk Heße

Keyword(s):

Dimension Reduction ◽

Bayesian Inversion ◽

Data Series ◽

Geostatistical Models

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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 ◽

Cited By ~ 4

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 ◽

Crank Nicolson

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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 seabed reverberation and scattering data via parallel tempering

The Journal of the Acoustical Society of America ◽

10.1121/1.3654313 ◽

2011 ◽

Vol 130 (4) ◽

pp. 2328-2328

Author(s):

Stan E. Dosso ◽

Charles W. Holland

Keyword(s):

Scattering Data ◽

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 ◽

Crank Nicolson

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Accelerated Bayesian Inversion Using Parallel Tempering

SpringerBriefs in Petroleum Geoscience & Engineering - Statistical Inversion of Electromagnetic Logging Data ◽

10.1007/978-3-030-57097-2_5 ◽

2020 ◽

pp. 61-78

Author(s):

Qiuyang Shen ◽

Jiefu Chen ◽

Xuqing Wu ◽

Yueqin Huang ◽

Zhu Han

Keyword(s):

Parallel Tempering ◽

Bayesian Inversion

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Using the parallel tempering algorithm to overcome complex problems in structure determination of inorganic materials with laboratory X-rays

Zeitschrift für Kristallographie Supplements ◽

10.1524/zksu.2006.suppl_23.9 ◽

2006 ◽

Vol 2006 (suppl_23_2006) ◽

pp. 9-14 ◽

Cited By ~ 3

Author(s):

T. Bataille ◽

N. Mahé ◽

E. Le Fur ◽

J.-Y. Pivan ◽

D. Louer

Keyword(s):

Structure Determination ◽

Inorganic Materials ◽

Parallel Tempering ◽

X Rays ◽

Complex Problems

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An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020031869 ◽

2020 ◽

Author(s):

Truong Vinh Hoang ◽

Hermann G. Matthies

Keyword(s):

Parameter Identification ◽

Set Theory ◽

Computational Method ◽

Bayesian Inversion ◽

Random Set ◽

Random Set Theory

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FAST BAYESIAN INVERSION METHOD FOR THE GENERALIZED PETROPHYSICAL AND COMPOSITIONAL INTERPRETATION OF MULTIPLE WELL LOGS WITH UNCERTAINTY QUANTIFICATION

10.30632/t60als-2019_ffff ◽

2019 ◽

Author(s):

Tianqi Deng ◽

Joaquin Ambia ◽

Carlos Torres-Verdín

Keyword(s):

Uncertainty Quantification ◽

Well Logs ◽

Bayesian Inversion ◽

Inversion Method ◽

Compositional Interpretation

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