Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter

[1]  Yu Wang,et al.  Development of an Efficient Response Surface Method for Highly Nonlinear Systems from Sparse Sampling Data Using Bayesian Compressive Sensing , 2021 .

[2]  Jinsong Huang,et al.  A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating , 2021, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards.

[3]  Matteo Broggi,et al.  Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method , 2021 .

[4]  Pinghe Ni,et al.  Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling , 2021 .

[5]  Ikumasa Yoshida,et al.  Estimation of trend and random components of conditional random field using Gaussian process regression , 2021 .

[6]  S. Marelli,et al.  Active learning for structural reliability: Survey, general framework and benchmark , 2021, Structural Safety.

[7]  Masumi Yamada,et al.  The Extended Integrated Particle Filter Method (IPFx) as a High-Performance Earthquake Early Warning System , 2021 .

[8]  Alan O'Connor,et al.  Adaptive approaches in metamodel-based reliability analysis: A review , 2021, Structural Safety.

[9]  K. Phoon,et al.  Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values , 2020 .

[10]  Jungho Kim,et al.  Probability-Adaptive Kriging in n-Ball (PAK-Bn) for reliability analysis , 2020 .

[11]  Takayuki Shuku,et al.  Bayesian Updating of Model Parameters by Iterative Particle Filter with Importance Sampling , 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

[12]  Zeyu Wang,et al.  Highly efficient Bayesian updating using metamodels: An adaptive Kriging-based approach , 2020 .

[13]  K. Phoon,et al.  Identification of sample path smoothness in soil spatial variability , 2019, Structural Safety.

[14]  Dian-Qing Li,et al.  Bayesian identification of soil stratigraphy based on soil behaviour type index , 2019, Canadian Geotechnical Journal.

[15]  Iason Papaioannou,et al.  Bayesian inference with Subset Simulation: Strategies and improvements , 2018 .

[16]  Costas Papadimitriou,et al.  Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo , 2018 .

[17]  K. Phoon,et al.  Identifiability of Geotechnical Site-Specific Trend Functions , 2017 .

[18]  Kok-Kwang Phoon,et al.  Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning , 2017 .

[19]  S. Talukdar,et al.  Estimation of gross weight, suspension stiffness and damping of a loaded truck from bridge measurements , 2017 .

[20]  Iason Papaioannou,et al.  Transitional Markov Chain Monte Carlo: Observations and Improvements , 2016 .

[21]  Hongping Zhu,et al.  Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation , 2016 .

[22]  F. A. DiazDelaO,et al.  Bayesian updating and model class selection with Subset Simulation , 2015, 1510.06989.

[23]  P. Koumoutsakos,et al.  X-TMCMC: Adaptive kriging for Bayesian inverse modeling , 2015 .

[24]  Iason Papaioannou,et al.  Bayesian Updating with Structural Reliability Methods , 2015 .

[25]  Matteo Rossi,et al.  An iterative particle filter approach for coupled hydro-geophysical inversion of a controlled infiltration experiment , 2015, J. Comput. Phys..

[26]  Masumi Yamada,et al.  Bayesian Approach for Identification of Multiple Events in an Early Warning System , 2014 .

[27]  Nicolas Gayton,et al.  A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models , 2013, Reliab. Eng. Syst. Saf..

[28]  Kazuyuki Nakamura,et al.  Parameter identification for Cam-clay model in partial loading model tests using the particle filter , 2012 .

[29]  Nicolas Gayton,et al.  AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation , 2011 .

[30]  Dan M. Frangopol,et al.  Time-dependent reliability analysis of existing RC structures in a marine environment using hazard associated with airborne chlorides , 2010 .

[31]  J. Beck.  Bayesian system identification based on probability logic , 2010 .

[32]  T. Higuchi,et al.  Merging particle filter for sequential data assimilation , 2007 .

[33]  J. Ching,et al.  Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging , 2007 .

[34]  J. Beck,et al.  Model Selection using Response Measurements: Bayesian Probabilistic Approach , 2004 .

[35]  James L. Beck,et al.  SUBSET SIMULATION AND ITS APPLICATION TO SEISMIC RISK BASED ON DYNAMIC ANALYSIS , 2003 .

[36]  J. Beck,et al.  Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation , 2002 .

[37]  J. Beck,et al.  Updating Models and Their Uncertainties. I: Bayesian Statistical Framework , 1998 .

[38]  G. Kitagawa.  Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .

[39]  Masaru Hoshiya,et al.  IDENTIFICATION OF CONDITIONAL STOCHASTIC GAUSSIAN FIELD , 1996 .

[40]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[41]  Luyi Li,et al.  Efficient Bayesian updating with two-step adaptive Kriging , 2022, Structural Safety.

[42]  Tadanobu Sato,et al.  Damage Identification Using Particle Filters , 2017 .

[43]  Ikumasa Yoshida,et al.  Health Monitoring Algorithm by the Monte Carlo Filter Based on Non-Gaussian Noise , 2002 .

[44]  A. O'Hagan,et al.  Bayesian calibration of computer models , 2001 .

[45]  W. Gilks,et al.  Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .