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YUEN KA VENG [4]
MOK KAI MENG [2]
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Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB
Journal article
He, Shu Yu, Kuok, Sin Chi, Tang, Cong, Zhou, Wan Huan. Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB[J]. Transportation Geotechnics, 2024, 44, 101179.
Authors:
He, Shu Yu
;
Kuok, Sin Chi
;
Tang, Cong
;
Zhou, Wan Huan
Favorite
|
TC[WOS]:
4
TC[Scopus]:
9
IF:
4.9
/
5.1
|
Submit date:2024/02/22
Bayesian Probabilistic Approach
Criteria For Model Design
Immersed Tunnel
Settlement Prediction
Updated Physical Model
Information Geometry of Generalized Bayesian Prediction Usingα-Divergences as Loss Functions
Journal article
Fode Zhang, Yimin Shi, Hon Keung Tony Ng, Ruibing Wang. Information Geometry of Generalized Bayesian Prediction Usingα-Divergences as Loss Functions[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2018, 64(3), 1812-1824.
Authors:
Fode Zhang
;
Yimin Shi
;
Hon Keung Tony Ng
;
Ruibing Wang
Favorite
|
TC[WOS]:
17
TC[Scopus]:
18
IF:
2.2
/
2.4
|
Submit date:2020/05/06
Information Geometry
Bayesian Prediction
(Β1,Β2)-bayes Risk
Optimality
Asymptotic Properties
Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models
Journal article
K. M. Mok, K. V. Yuen, K. I. Hoi, K. M. Chao, D. Lopes. Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models[J]. Stochastic Environmental Research and Risk Assessment, 2017, 32(5), 1283-1297.
Authors:
K. M. Mok
;
K. V. Yuen
;
K. I. Hoi
;
K. M. Chao
;
D. Lopes
Favorite
|
TC[WOS]:
10
TC[Scopus]:
12
IF:
3.9
/
3.6
|
Submit date:2018/10/30
Adaptive Bayesian Model Averaging
Kalman Filter
Model Switching
Ozone Prediction
Statistical Model
Is a complex neural network based air quality prediction model better than a simple one? A Bayesian point of view
Conference paper
K. I. Hoi, K. V. Yuen, K. M. Mok. Is a complex neural network based air quality prediction model better than a simple one? A Bayesian point of view[C]:AMER INST PHYSICS, 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA, 2010, 764-769.
Authors:
K. I. Hoi
;
K. V. Yuen
;
K. M. Mok
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2019/02/12
Air Quality Prediction
Artificial Neural Network
Bayesian Approach
Macau
Pm10
A bayesian decision fusion approach for microRNA target prediction
Conference paper
Yue,Dong, Liu,Hui, Lu,Ming Zhu, Chen,Philip, Chen,Yidong, Huang,Yufei. A bayesian decision fusion approach for microRNA target prediction[C], 2010, 214-221.
Authors:
Yue,Dong
;
Liu,Hui
;
Lu,Ming Zhu
;
Chen,Philip
;
Chen,Yidong
; et al.
Favorite
|
TC[WOS]:
13
TC[Scopus]:
5
|
Submit date:2021/03/09
Bayesian Network
Microrna Target Prediction
Model updating using noisy response measurements without knowledge of the input spectrum
Journal article
Ka-Veng Yuen, Lambros S. Katafygiotis. Model updating using noisy response measurements without knowledge of the input spectrum[J]. Earthquake Engineering and Structural Dynamics, 2004, 34(2), 167-187.
Authors:
Ka-Veng Yuen
;
Lambros S. Katafygiotis
Favorite
|
TC[WOS]:
44
TC[Scopus]:
54
|
Submit date:2018/10/30
Bayesian Inference
Fast Fourier Transform
Frequency Domain Analysis
Model Updating
Response Prediction
System Identification
Probabilistic approach for modal identification using non-stationary noisy response measurements only
Journal article
Yuen K.-V., Beck J.L., Katafygiotis L.S.. Probabilistic approach for modal identification using non-stationary noisy response measurements only[J]. Earthquake Engineering and Structural Dynamics, 2002, 31(4), 1007-1023.
Authors:
Yuen K.-V.
;
Beck J.L.
;
Katafygiotis L.S.
Favorite
|
TC[WOS]:
67
TC[Scopus]:
69
|
Submit date:2019/02/12
Bayesian Inference
Modal Updating
Non-stationary Response
Response Prediction
System Identification
Time Series