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Results 1 - 20 of 82  for All Library Resources

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1
Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models
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Article
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Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models

Human Brain Mapping, 2021-07 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International ;ISSN: 1065-9471 ;ISSN: 1097-0193 ;EISSN: 1097-0193 ;DOI: 10.3929/ethz-b-000490244

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2
Bayesian hierarchical approach and geophysical data sets for estimation of reactive facies over plume scales
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Article
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Bayesian hierarchical approach and geophysical data sets for estimation of reactive facies over plume scales

Water resources research, 2014-06, Vol.50 (6), p.4564-4584 [Peer Reviewed Journal]

2014. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2013WR013842

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3
Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global-scale terrestrial biosphere models
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Article
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Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global-scale terrestrial biosphere models

Global change biology, 2009-04, Vol.15 (4), p.976-991 [Peer Reviewed Journal]

2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd ;2009 INIST-CNRS ;ISSN: 1354-1013 ;EISSN: 1365-2486 ;DOI: 10.1111/j.1365-2486.2008.01744.x

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4
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
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Article
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Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers

IEEE transactions on signal processing, 2023-01, Vol.71, p.888-900 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2023.3247142

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5
Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling
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Article
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Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling

IEEE transactions on circuits and systems. I, Regular papers, 2024-02, p.1-14 [Peer Reviewed Journal]

ISSN: 1549-8328 ;EISSN: 1558-0806 ;DOI: 10.1109/TCSI.2023.3337529 ;CODEN: ITCSCH

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6
Time‐varying nonstationary multivariate risk analysis using a dynamic Bayesian copula
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Article
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Time‐varying nonstationary multivariate risk analysis using a dynamic Bayesian copula

Water resources research, 2016-03, Vol.52 (3), p.2327-2349 [Peer Reviewed Journal]

2016. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2015WR018525

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7
Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability
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Article
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Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2013-02, Vol.371 (1984), p.20110544-20110544 [Peer Reviewed Journal]

2012 The Author(s) Published by the Royal Society. All rights reserved. ;ISSN: 1364-503X ;ISSN: 1471-2962 ;EISSN: 1471-2962 ;DOI: 10.1098/rsta.2011.0544 ;PMID: 23277602

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8
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences
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Article
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Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences

Water resources research, 2011-02, Vol.47 (2), p.n/a [Peer Reviewed Journal]

Copyright 2011 by the American Geophysical Union. ;Copyright 2011 by American Geophysical Union ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2010WR009333

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9
Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models
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Article
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Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models

Human brain mapping, 2021-07, Vol.42 (10), p.2973-2989 [Peer Reviewed Journal]

2021 The Authors. published by Wiley Periodicals LLC. ;2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. ;2021. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1065-9471 ;EISSN: 1097-0193 ;DOI: 10.1002/hbm.25431 ;PMID: 33826194

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10
Demand Forecasting of Bento Considering the Product Popularity Estimation for Multiple Types of Bento Menus Using a Bayesian Rating System
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Conference Proceeding
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Demand Forecasting of Bento Considering the Product Popularity Estimation for Multiple Types of Bento Menus Using a Bayesian Rating System

Lecture notes in engineering and computer science, 2023, Vol.2245, p.7

Copyright International Association of Engineers Jul 5-Jul 7, 2023 ;ISSN: 2078-0958 ;EISSN: 2078-0966

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11
Probabilistic prediction on three-dimensional roughness of discontinuity based on two-dimensional traces under rock tunnel excavation based on Bayesian theory
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Article
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Probabilistic prediction on three-dimensional roughness of discontinuity based on two-dimensional traces under rock tunnel excavation based on Bayesian theory

Underground space (Beijing), 2024-02, Vol.14, p.338-356 [Peer Reviewed Journal]

2023 Tongji University ;ISSN: 2467-9674 ;EISSN: 2467-9674 ;DOI: 10.1016/j.undsp.2023.08.005

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12
Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data
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Article
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Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data

Water resources research, 2011-04, Vol.47 (4), p.n/a [Peer Reviewed Journal]

Copyright 2011 by the American Geophysical Union. ;Copyright 2011 by American Geophysical Union ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2010WR009265

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13
Subsurface Source Zone Characterization and Uncertainty Quantification Using Discriminative Random Fields
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Article
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Subsurface Source Zone Characterization and Uncertainty Quantification Using Discriminative Random Fields

Water resources research, 2020-03, Vol.56 (3), p.n/a [Peer Reviewed Journal]

2020. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR026481

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14
Bayesian estimation approach based on modified SCAM algorithm and its application in structural damage identification
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Article
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Bayesian estimation approach based on modified SCAM algorithm and its application in structural damage identification

Structural control and health monitoring, 2021-01, Vol.28 (1), p.n/a [Peer Reviewed Journal]

2020 John Wiley & Sons, Ltd. ;2021 John Wiley & Sons, Ltd. ;ISSN: 1545-2255 ;EISSN: 1545-2263 ;DOI: 10.1002/stc.2654

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15
A hierarchical model for integrating unsupervised generative embedding and empirical Bayes
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Article
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A hierarchical model for integrating unsupervised generative embedding and empirical Bayes

Journal of neuroscience methods, 2016-08, Vol.269, p.6 [Peer Reviewed Journal]

Copyright © 2016 Elsevier B.V. All rights reserved. ;EISSN: 1872-678X ;DOI: 10.1016/j.jneumeth.2016.04.022 ;PMID: 27141854

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16
Comparing Bootstrap and Posterior Probability Values in the Four-Taxon Case
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Article
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Comparing Bootstrap and Posterior Probability Values in the Four-Taxon Case

Systematic biology, 2003-08, Vol.52 (4), p.477-487 [Peer Reviewed Journal]

Copyright 2003 Society of Systematic Biologists ;2003 Society of Systematic Biologists 2003 ;Copyright Society of Systematic Biologists Aug 2003 ;ISSN: 1063-5157 ;EISSN: 1076-836X ;DOI: 10.1080/10635150390218213 ;PMID: 12857639

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17
A hierarchical model for integrating unsupervised generative embedding and empirical Bayes
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Article
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A hierarchical model for integrating unsupervised generative embedding and empirical Bayes

ISSN: 0165-0270 ;EISSN: 1872-678X ;DOI: 10.1016/j.jneumeth.2016.04.022

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18
Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets
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Article
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Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets

Frontiers in environmental science, 2022-01, Vol.9 [Peer Reviewed Journal]

ISSN: 2296-665X ;EISSN: 2296-665X ;DOI: 10.3389/fenvs.2021.780814

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19
Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling
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Article
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Uncertainty quantification methodology for model parameters in sub-channel codes using MCMC sampling

Hé jìshū, 2023-12, Vol.46 (12), p.120602-120602 [Peer Reviewed Journal]

ISSN: 0253-3219 ;DOI: 10.11889/j.0253-3219.2023.hjs.46.120602

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20
Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks
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Article
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Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks

Journal of the Royal Statistical Society, 2015-08, Vol.64 (4), p.611-633 [Peer Reviewed Journal]

Copyright © 2015 The Royal Statistical Society and John Wiley & Sons Ltd. ;2015 Royal Statistical Society ;Copyright © 2015 The Royal Statistical Society and John Wiley & Sons Ltd ;ISSN: 0035-9254 ;EISSN: 1467-9876 ;DOI: 10.1111/rssc.12093

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