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Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Yan,Wang Ji;  Cao,Shi Ze;  Ren,Wei Xin;  Yuen,Ka Veng;  Li,Dan;  Katafygiotis,Lambros
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Bayesian theory  Distributed parallel computing  Frequency response function  Model updating  Structural health monitoring  Vectorization computation  
A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements Journal article
Mechanical Systems and Signal Processing, 2020,Volume: 143
Authors:  Yan,Wang Ji;  Chronopoulos,Dimitrios;  Cantero-Chinchilla,Sergio;  Yuen,Ka Veng;  Papadimitriou,Costas
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date:2021/03/09
Bayesian analysis  Composite structure  Metamodeling  Ultrasonic guided waves  Uncertainty quantification  Wave and finite element  
Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme Journal article
Journal of Sound and Vibration, 2020,Volume: 468
Authors:  Yan,Wang Ji;  Chronopoulos,Dimitrios;  Papadimitriou,Costas;  Cantero-Chinchilla,Sergio;  Zhu,Guo Shu
Favorite |  | TC[WOS]:9 TC[Scopus]:10 | Submit date:2021/03/11
Bayesian analysis  Damage identification  Surrogate model  Ultrasonic guided waves  Uncertainty quantification  Wave finite elements  
Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method Journal article
Acta Geotechnica, 2019,Volume: 14,Issue: 6,Page: 1925-1947
Authors:  Jin,Yin Fu;  Yin,Zhen Yu;  Zhou,Wan Huan;  Horpibulsuk,Suksun
Favorite |  | TC[WOS]:22 TC[Scopus]:23 | Submit date:2021/03/11
Bayesian parameter identification  Clay  Constitutive model  Pressuremeter  Sand  Transitional Markov chain Monte Carlo  
Bayesian model selection for sand with generalization ability evaluation Journal article
International Journal for Numerical and Analytical Methods in Geomechanics, 2019,Volume: 43,Issue: 14,Page: 2305-2327
Authors:  Jin,Yin Fu;  Yin,Zhen Yu;  Zhou,Wan Huan;  Shao,Jian Fu
Favorite |  | TC[WOS]:18 TC[Scopus]:19 | Submit date:2021/03/11
Bayesian theory  constitutive relation  critical state  generalization ability  sand  transitional Markov chain Monte Carlo  
Relaxation methods for solving the tensor equation arising from the higher-order Markov chains Journal article
Numerical Linear Algebra with Applications, 2019,Volume: 26,Issue: 5
Authors:  Liu,Dongdong;  Li,Wen;  Vong,Seak Weng
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date:2021/03/09
higher-order Markov chain  multilinear PageRank  relaxation algorithm  tensor equation  
Standing out from the crowd – An investigation of the signal attributes of Airbnb listings Journal article
International Journal of Contemporary Hospitality Management, 2019,Volume: 32
Authors:  Bin Yao;  Richard T.R. Qiu;  Daisy X.F. Fan;  Anyu Liu;  Dimitrios Buhalis
View | Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:17 | Submit date:2019/09/10
Signaling Theory  Big Data  Airbnb  Binomial Logistic Model  Booking Probability  Sequential Bayesian Updating  Sharing Economy  
Spatial Modeling Approach for Dynamic Network Formation and Interactions Journal article
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2019
Authors:  Xiaoyi Han;  Chih-Sheng Hsieh;  Stanley I. M. Ko
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/11/11
Spatial Dynamic Panel Data Model  Latent Variable  Peer Effects  Bayesian  Dynamic Network Formation  
Particle filter grey Wolf optimization for parameter estimation of nonlinear dynamic system Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors:  Zhang,Cuilian;  Yang,Xu;  Lilingbo,;  Wong,Derek F.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
Grey Wolf Optimization  MCMC  Parameter Estimation  Particle Filter  
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)