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The Main Himalayan Thrust Beneath Nepal and Southern Tibet Illuminated by Seismic Ambient Noise and Teleseismic P Wave Coda Autocorrelation 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2023, 卷号: 128, 期号: 8
作者:  Thapa, Hari Ram;  Pachhai, Surya;  Aoudia, Abdelkrim;  Manu-Marfo, Daniel;  Priestley, Keith;  Mitra, Supriyo
收藏  |  浏览/下载:7/0  |  提交时间:2024/03/01
Himalaya Nepal  ambient noise  bayesian inversion  3-D shear wave structure  crustal discontinuities  mid-crustal low velocity  ramps  duplex structure  earthquake hazard  
Sequential Monte Carlo sampler applied to source term estimation in complex atmospheric environments 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 269
作者:  Septier F.;  Armand P.;  Duchenne C.
收藏  |  浏览/下载:33/0  |  提交时间:2022/01/18
Adaptivity  Bayesian approach  Dispersion model  Sequential importance sampling  Source term estimation  Synthetic example  
Shear-wave velocity structure beneath Alaska from a Bayesian joint inversion of Sp receiver functions and Rayleigh wave phase velocities 期刊论文
Earth and Planetary Science Letters, 2021, 卷号: 560
作者:  Gama I.;  Fischer K.M.;  Eilon Z.;  Krueger H.E.;  Dalton C.A.;  Flesch L.M.
收藏  |  浏览/下载:34/0  |  提交时间:2021/09/01
Alaska Transportable Array  Bayesian inversion  lithosphere-asthenosphere boundary  mantle imaging  Sp receiver functions  
Comment on “Discussion: Extracting thermal history from low temperature thermochronology/A comment on the recent exchanges between Vermeesch and Tian and Gallagher and Ketcham”, by Paul Green and Ian Duddy, Earth Science Reviews, https://doi.org/10.1016/j.earscirev.2020.103197 期刊论文
Earth Science Reviews, 2021, 卷号: 216
作者:  Gallagher K.
收藏  |  浏览/下载:39/0  |  提交时间:2021/09/01
Bayesian  Thermal history modelling  Thermochronology  
Towards robust statistical inference for complex computer models 期刊论文
Ecology Letters, 2021, 卷号: 24, 期号: 6
作者:  Oberpriller J.;  Cameron D.R.;  Dietze M.C.;  Hartig F.
收藏  |  浏览/下载:37/0  |  提交时间:2021/09/01
Bayesian Inference  bias correction  biased models  data imbalance  robust inference  
Quantifying 25 years of disease-caused declines in Tasmanian devil populations: host density drives spatial pathogen spread 期刊论文
Ecology Letters, 2021, 卷号: 24, 期号: 5
作者:  Cunningham C.X.;  Comte S.;  McCallum H.;  Hamilton D.G.;  Hamede R.;  Storfer A.;  Hollings T.;  Ruiz-Aravena M.;  Kerlin D.H.;  Brook B.W.;  Hocking G.;  Jones M.E.
收藏  |  浏览/下载:62/0  |  提交时间:2021/09/01
Approximate Bayesian Computation  density dependence  devil facial tumour disease  disease spread  emerging infectious disease  host-pathogen  integrated species distribution model  Sarcophilus harrisii  spatial capture-recapture  wildlife disease  
Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China 期刊论文
Tectonophysics, 2021, 卷号: 815
作者:  Xiong Z.;  Zhuang J.;  Zhou S.;  Matsu'ura M.;  Hao M.;  Wang Q.
收藏  |  浏览/下载:279/0  |  提交时间:2021/09/01
Bayesian approach  GNSS data  Molchan Error Diagram  Strain rate field  
Risk analysis of tripping accidents of power grid caused by typical natural hazards based on FTA-BN model 期刊论文
Natural Hazards, 2021, 卷号: 106, 期号: 3
作者:  Bian H.;  Zhang J.;  Li R.;  Zhao H.;  Wang X.;  Bai Y.
收藏  |  浏览/下载:55/0  |  提交时间:2021/09/01
Bayesian network  Fault tree analysis  Natural hazards  Power grid  Risk analysis  Tripping accident  
A probabilistic approach to estimating residential losses from different flood types 期刊论文
Natural Hazards, 2021, 卷号: 105, 期号: 3
作者:  Paprotny D.;  Kreibich H.;  Morales-Nápoles O.;  Wagenaar D.;  Castellarin A.;  Carisi F.;  Bertin X.;  Merz B.;  Schröter K.
收藏  |  浏览/下载:24/0  |  提交时间:2021/09/01
Bayesian networks  Coastal floods  Flood damage surveys  Fluvial floods  Pluvial floods  
Bayesian network reasoning and machine learning with multiple data features: air pollution risk monitoring and early warning 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 3
作者:  Xie X.;  Zuo J.;  Xie B.;  Dooling T.A.;  Mohanarajah S.
收藏  |  浏览/下载:41/0  |  提交时间:2021/09/01
Air pollution risk  AQI prediction  Bayesian network  Machine learning  Statistical analysis