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A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model
Tomassini, Lorenzo; Reichert, Peter; Künsch, Hansr; … - In: Journal of the Royal Statistical Society / C 58 (2009) 5, pp. 679-704
Persistent link: https://www.econbiz.de/10008323182
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Accounting for the risk of extreme outcomes in an integrated assessment of climate change
Gerst, Michael D.; Howarth, Richard B.; Borsuk, Mark E. - In: Energy policy 38 (2010) 8, pp. 4540-4549
Persistent link: https://www.econbiz.de/10008414794
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On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes
Jensen, Jens Ledet; Künsch, Hans R. - In: Annals of the Institute of Statistical Mathematics : AISM 46 (1994) 3, pp. 475-486
Persistent link: https://www.econbiz.de/10006596296
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Robust priors for smoothing and image restoration
Künsch, Hans R. - In: Annals of the Institute of Statistical Mathematics : AISM 46 (1994) 1, pp. 1-20
Persistent link: https://www.econbiz.de/10006596329
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Theory and Methods - Comment - Prediction of Spatial Cumulative Distribution Functions Using Subsampling
Bühlmann, Peter; Künsch, Hans R. - In: Journal of the American Statistical Association : JASA 94 (1999) 445, pp. 97-98
Persistent link: https://www.econbiz.de/10006627280
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Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There?
Jun, Mikyoung; Knutti, Reto; Nychka, Douglas W. - In: Journal of the American Statistical Association : JASA 103 (2008) 483, pp. 934-947
Persistent link: https://www.econbiz.de/10008114789
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Energy policies avoiding a tipping point in the climate system
Bahn, Olivier; Edwards, Neil R.; Knutti, Reto; Stocker, … - In: Energy policy 39 (2011) 1, pp. 334-349
Persistent link: https://www.econbiz.de/10008769811