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State-of-the-art global models underestimate impacts from climate extremes
State-of-the-art global models underestimate impacts from climate extremes
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State-of-the-art global models underestimate impacts from climate extremes

Nature communications, 2019-03, Vol.10 (1), p.1005-14, Article 1005 [Peer Reviewed Journal]

This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2019 ;Wageningen University & Research ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-019-08745-6 ;PMID: 30824763

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Modified Gravity with Vector Distortion and Cosmological Applications
Modified Gravity with Vector Distortion and Cosmological Applications
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Modified Gravity with Vector Distortion and Cosmological Applications

Universe (Basel), 2017-06, Vol.3 (2), p.47 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2218-1997 ;EISSN: 2218-1997 ;DOI: 10.3390/universe3020047

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3
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
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Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models

Computational statistics, 2018-03, Vol.33 (1), p.179-212 [Peer Reviewed Journal]

The Author(s) 2017 ;Computational Statistics is a copyright of Springer, (2017). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-017-0770-y

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4
Amount of information needed for model choice in Approximate Bayesian Computation
Amount of information needed for model choice in Approximate Bayesian Computation
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Amount of information needed for model choice in Approximate Bayesian Computation

PloS one, 2014, Vol.9 (6), p.e99581-e99581 [Peer Reviewed Journal]

2014 Stocks et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;2014 Stocks et al 2014 Stocks et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0099581 ;PMID: 24959900

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5
Economic difficulties and common mental disorders among Finnish and British white-collar employees: the contribution of social and behavioural factors
Economic difficulties and common mental disorders among Finnish and British white-collar employees: the contribution of social and behavioural factors
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Economic difficulties and common mental disorders among Finnish and British white-collar employees: the contribution of social and behavioural factors

Journal of epidemiology and community health (1979), 2009-06, Vol.63 (6), p.439-446 [Peer Reviewed Journal]

2009 BMJ Publishing Group ;Copyright © 2009 BMJ Publishing Group ;2009 INIST-CNRS ;Copyright: 2009 2009 BMJ Publishing Group ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0143-005X ;ISSN: 1470-2738 ;EISSN: 1470-2738 ;DOI: 10.1136/jech.2008.077198 ;PMID: 19221110 ;CODEN: JECHDR

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6
Heteroskedasticity as a leading indicator of desertification in spatially explicit data
Heteroskedasticity as a leading indicator of desertification in spatially explicit data
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Heteroskedasticity as a leading indicator of desertification in spatially explicit data

Ecology and evolution, 2015-06, Vol.5 (11), p.2185-2192 [Peer Reviewed Journal]

2015 The Authors. published by John Wiley & Sons Ltd. ;2015 Published by John Wiley & Sons Ltd. ;2015. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2015 The Authors. published by John Wiley & Sons Ltd. 2015 ;ISSN: 2045-7758 ;EISSN: 2045-7758 ;DOI: 10.1002/ece3.1510 ;PMID: 26078855

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