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Bayesian multi-model projection of climate: bias assumptions and interannual variability
Bayesian multi-model projection of climate: bias assumptions and interannual variability
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Bayesian multi-model projection of climate: bias assumptions and interannual variability

Buser, Christoph M. ; Künsch, H. R. ; Lüthi, D. ; Wild, M. ; Schär, C.

Climate dynamics, 2009-11, Vol.33 (6), p.849-868 [Periódico revisado por pares]

Berlin/Heidelberg: Springer-Verlag

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2
Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure
Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure
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Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure

Brans, J.P. ; Macharis, C. ; Kunsch, P.L. ; Chevalier, A. ; Schwaninger, M.

European journal of operational research, 1998-09, Vol.109 (2), p.428-441 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Climate change projections for Switzerland based on a Bayesian multi-model approach
Climate change projections for Switzerland based on a Bayesian multi-model approach
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Climate change projections for Switzerland based on a Bayesian multi-model approach

Fischer, A. M. ; Weigel, A. P. ; Buser, C. M. ; Knutti, R. ; Künsch, H. R. ; Liniger, M. A. ; Schär, C. ; Appenzeller, C.

International journal of climatology, 2012-12, Vol.32 (15), p.2348-2371 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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4
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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5
Why good practice of OR is not enough―Ethical challenges for the OR practitioner: Ethics and Operations Research
Why good practice of OR is not enough―Ethical challenges for the OR practitioner: Ethics and Operations Research
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Why good practice of OR is not enough―Ethical challenges for the OR practitioner: Ethics and Operations Research

RAUSCHMAYER, F ; KAVATHATZOPOULOS, I ; KUNSCH, P. L ; LE MENESTREL, M

Omega (Oxford), 2009, Vol.37 (6), p.1089-1099 [Periódico revisado por pares]

Kidlington: Elsevier

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6
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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7
Biases and Uncertainty in Climate Projections
Biases and Uncertainty in Climate Projections
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Biases and Uncertainty in Climate Projections

BUSER, CHRISTOPH M. ; KÜNSCH, HANS R. ; WEBER, ALAIN

Scandinavian journal of statistics, 2010-06, Vol.37 (2), p.179-199 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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8
Strange: An interactive method for multi-objective linear programming under uncertainty
Strange: An interactive method for multi-objective linear programming under uncertainty
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Strange: An interactive method for multi-objective linear programming under uncertainty

Teghem, J. ; Dufrane, D. ; Thauvoye, M. ; Kunsch, P.

European journal of operational research, 1986-07, Vol.26 (1), p.65-82 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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9
Impact of geometrical properties on permeability and fluid phase distribution in porous media: Quantitative Links Between Porous Media Structures and Flow Behavior Across Scales
Impact of geometrical properties on permeability and fluid phase distribution in porous media: Quantitative Links Between Porous Media Structures and Flow Behavior Across Scales
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Impact of geometrical properties on permeability and fluid phase distribution in porous media: Quantitative Links Between Porous Media Structures and Flow Behavior Across Scales

LEHMANN, P ; BERCHTOLD, M ; AHRENHOLZ, B ; TÖLKE, J ; KAESTNER, A ; KRAFCZYK, M ; FLÜHLER, H ; KÜNSCH, H. R

Advances in water resources, 2008, Vol.31 (9), p.1188-1204 [Periódico revisado por pares]

Oxford: Elsevier Science

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10
Prediction of spatial cumulative distribution functions using subsampling. Commentaries. Authors' reply
Prediction of spatial cumulative distribution functions using subsampling. Commentaries. Authors' reply
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Prediction of spatial cumulative distribution functions using subsampling. Commentaries. Authors' reply

LAHIRI, S. N ; KAISER, M. S ; STEIN, M. L ; CRESSIE, N ; HSU, N.-J ; BÜHLMANN, P ; KÜNSCH, H. R ; CHRISTENSEN, R ; HANDCOCK, M. S ; SHERMAN, M ; CARLSTEIN, E

Journal of the American Statistical Association, 1999, Vol.94 (445), p.86-110 [Periódico revisado por pares]

Alexandria, VA: American Statistical Association

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