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Statistical Analysis of Ion Channel Data Using Hidden Markov Models With Correlated State-Dependent Noise and Filtering
Statistical Analysis of Ion Channel Data Using Hidden Markov Models With Correlated State-Dependent Noise and Filtering
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Statistical Analysis of Ion Channel Data Using Hidden Markov Models With Correlated State-Dependent Noise and Filtering

de Gunst, M. C. M ; Künsch, H. R ; Schouten, J. G

Journal of the American Statistical Association, 2001-09, Vol.96 (455), p.805-815 [Periódico revisado por pares]

Alexandria, VA: Taylor & Francis

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Bayesian multi-model projections of climate: generalization and application to ENSEMBLES results
Bayesian multi-model projections of climate: generalization and application to ENSEMBLES results
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Bayesian multi-model projections of climate: generalization and application to ENSEMBLES results

Buser, C. M. ; Künsch, H. R. ; Schär, C.

Climate research, 2010-01, Vol.44 (2/3), p.227-241 [Periódico revisado por pares]

Inter-Research

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smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model
smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model
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smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model

Tomassini, Lorenzo ; Reichert, Peter ; Künsch, Hans R. ; Buser, Christoph ; Knutti, Reto ; Borsuk, Mark E.

Applied statistics, 2009-12, Vol.58 (5), p.679-704 [Periódico revisado por pares]

Oxford, UK: Oxford, UK : Blackwell Publishing Ltd

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