Markov chain Monte Carlo ground-motion selection algorithms for conditional intensity measure targets

Earthquake Engineering & Structural Dynamics ◽

10.1002/eqe.3093 ◽

2018 ◽

Author(s):

Yuan Shi ◽

Peter J. Stafford

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Ground Motion ◽

Conditional Intensity ◽

Intensity Measure ◽

Ground Motion Selection ◽

Selection Algorithms

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Evaluation of the exact conditional spectrum and generalized conditional intensity measure methods for ground motion selection

Earthquake Engineering & Structural Dynamics ◽

10.1002/eqe.2683 ◽

2015 ◽

Vol 45 (5) ◽

pp. 757-777 ◽

Author(s):

N. Simon Kwong ◽

Anil K. Chopra

Keyword(s):

Ground Motion ◽

Conditional Intensity ◽

Intensity Measure ◽

Ground Motion Selection ◽

Measure Methods

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A generalized conditional intensity measure approach and holistic ground-motion selection

Earthquake Engineering & Structural Dynamics ◽

10.1002/eqe.995 ◽

2010 ◽

pp. n/a-n/a ◽

Author(s):

Brendon A. Bradley

Keyword(s):

Ground Motion ◽

Conditional Intensity ◽

Intensity Measure ◽

Ground Motion Selection

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A ground motion selection algorithm based on the generalized conditional intensity measure approach

Soil Dynamics and Earthquake Engineering ◽

10.1016/j.soildyn.2012.04.007 ◽

2012 ◽

Vol 40 ◽

pp. 48-61 ◽

Author(s):

Brendon A. Bradley

Keyword(s):

Ground Motion ◽

Conditional Intensity ◽

Selection Algorithm ◽

Intensity Measure ◽

Ground Motion Selection

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Calibration of ground motion models to Icelandic peak ground acceleration data using Bayesian Markov Chain Monte Carlo simulation

Bulletin of Earthquake Engineering ◽

10.1007/s10518-019-00569-5 ◽

2019 ◽

Vol 17 (6) ◽

pp. 2841-2870 ◽

Author(s):

Milad Kowsari ◽

Benedikt Halldorsson ◽

Birgir Hrafnkelsson ◽

Jónas Þór Snæbjörnsson ◽

Sigurjón Jónsson

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Ground Motion ◽

Peak Ground Acceleration ◽

Ground Acceleration ◽

Motion Models ◽

Acceleration Data ◽

Ground Motion Models

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Ground motion selection for scenario ruptures using the generalised conditional intensity measure (GCIM) method

Earthquake Engineering & Structural Dynamics ◽

10.1002/eqe.2546 ◽

2015 ◽

Vol 44 (10) ◽

pp. 1601-1621 ◽

Author(s):

Karim Tarbali ◽

Brendon A. Bradley

Keyword(s):

Ground Motion ◽

Conditional Intensity ◽

Intensity Measure ◽

Ground Motion Selection ◽

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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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Markov Chain Monte Carlo Methods for Reserves Estimation

10.2523/10065-ms ◽

2005 ◽

Author(s):

Andrew W. Wadsley

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods

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Model Volatilitas Stokastik dengan Metode Markov Chain Monte Carlo

Jurnal Riset dan Aplikasi Matematika (JRAM) ◽

10.26740/jram.v2n1.p1-12 ◽

2018 ◽

Vol 2 (1) ◽

pp. 1

Author(s):

Alfian Alfian

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo

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On Markov Chain Monte Carlo Acceleration

10.21236/ada279393 ◽

1994 ◽

Author(s):

Alan E. Gelfand ◽

Sujit K. Sahu

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo

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Statistical Inference for Coherent Systems from Partial Information and Markov Chain Monte Carlo Methods.

10.21236/ada305676 ◽

1996 ◽

Author(s):

Hani Doss

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Statistical Inference ◽

Monte Carlo Methods ◽

Partial Information ◽

Coherent Systems

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