Hans R. Kuensch

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Christoph SchaerProfessor, ETH ZurichAdresse e-mail validée de env.ethz.ch
Fabio SigristETH ZurichAdresse e-mail validée de stat.math.ethz.ch
Peter Reichertretired from Eawag, Swiss Federal Institute of Aquatic Science and TechnologyAdresse e-mail validée de emeriti.eawag.ch
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichAdresse e-mail validée de stat.math.ethz.ch
Andreas PapritzAdresse e-mail validée de env.ethz.ch
Leonard StefanskiDepartment of Statistics, North Carolina State UniversityAdresse e-mail validée de ncsu.edu
Carlo AlbertEawag: Swiss Federal Institute of Aquatic Science and TechnologyAdresse e-mail validée de eawag.ch
Reto KnuttiProfessor for Climate Physics, ETH ZurichAdresse e-mail validée de env.ethz.ch
F. GötzeUniversität Bielefeld, Fakultät für MathematikAdresse e-mail validée de math.uni-bielefeld.de
Christoph FreiSenior Scientist, Federal Office of Meteorology and Climatology MeteoSwissAdresse e-mail validée de meteoswiss.ch
Guoqi QianUniversity of MelbourneAdresse e-mail validée de ms.unimelb.edu.au
Mark A. LinigerFederal Office of Meteorology and Climatology MeteoSwissAdresse e-mail validée de meteoswiss.ch
Sylvain RobertGoogleAdresse e-mail validée de google.com
Fred A. HamprechtProfessor, Heidelberg UniversityAdresse e-mail validée de iwr.uni-heidelberg.de
Athanasios KehagiasAssociate Professor, Aristotle UniversityAdresse e-mail validée de auth.gr
Martin WildZurichAdresse e-mail validée de env.ethz.ch
Tim HesterbergStaff Data Scientist, InstacartAdresse e-mail validée de instacart.com
Christof AppenzellerFederal Office of Meteorology and Climatology MeteoSwiss, Swiss Federal Institute of Technology ETHAdresse e-mail validée de meteoswiss.ch
Mark BorsukDuke UniversityAdresse e-mail validée de duke.edu

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Hans R. Kuensch

Seminar fur Statistik, Department of Mathematics, ETH Zurich

Adresse e-mail validée de stat.math.ethz.ch - Page d'accueil

Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The jackknife and the bootstrap for general stationary observations HR Künsch The annals of Statistics, 1217-1241, 1989	2960	1989
Practical identifiability analysis of large environmental simulation models R Brun, P Reichert, HR Künsch Water Resources Research 37 (4), 1015-1030, 2001	739	2001
Statistical aspects of self-similar processes H Künsch Proceedings of the FirstWorld Congress of the Bernoulli Society 1, 67-74, 1987	573	1987
Discrimination between monotonic trends and long-range dependence H Künsch Journal of Applied Probability 23, 1025-1030, 1986	334	1986
Conditionally unbiased bounded-influence estimation in general regression models, with applications to generalized linear models HR Künsch, LA Stefanski, RJ Carroll Journal of the American Statistical Association 84 (406), 460-466, 1989	297	1989
Recursive Monte Carlo filters: algorithms and theoretical analysis HR Künsch Annals of Statistics, 1983-2021, 2005	262	2005
Monte Carlo approximations for general state-space models M Hürzeler, HR Künsch Journal of Computational and graphical Statistics 7 (2), 175-193, 1998	261	1998
Particle filters for high‐dimensional geoscience applications: A review PJ Van Leeuwen, HR Künsch, L Nerger, R Potthast, S Reich Quarterly Journal of the Royal Meteorological Society 145 (723), 2335-2365, 2019	252	2019
Bayesian multi-model projection of climate: bias assumptions and interannual variability CM Buser, HR Künsch, D Lüthi, M Wild, C Schär Climate Dynamics 33, 849-868, 2009	222	2009
Block length selection in the bootstrap for time series P Bühlmann, HR Künsch Computational Statistics & Data Analysis 31 (3), 295-310, 1999	220	1999
Second-order correctness of the blockwise bootstrap for stationary observations F Götze, HR Künsch The Annals of Statistics 24 (5), 1914-1933, 1996	202	1996
Edge effects and efficient parameter estimation for stationary random fields R Dahlhaus, H Künsch Biometrika 74 (4), 877-882, 1987	174	1987
Matched-block bootstrap for dependent data E Carlstein, KA Do, P Hall, T Hesterberg, HR Künsch	166	1998
Infinitesimal robustness for autoregressive processes H Kunsch The Annals of Statistics, 843-863, 1984	164	1984
State space and hidden Markov models HR Kunsch Monographs on Statistics and Applied Probability 87, 109-174, 2001	163	2001
On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes JL Jensen, HR Künsch Annals of the Institute of Statistical Mathematics 46, 475-486, 1994	150	1994
Intrinsic autoregressions and related models on the two-dimensional lattice HR Künsch Biometrika 74 (3), 517-524, 1987	121	1987
Bridging the ensemble Kalman and particle filters M Frei, HR Künsch Biometrika 100 (4), 781-800, 2013	120	2013
Climate change projections for Switzerland based on a Bayesian multi‐model approach AM Fischer, AP Weigel, CM Buser, R Knutti, HR Künsch, MA Liniger, ... International Journal of Climatology 32 (15), 2348, 2012	114	2012
Particle filters and data assimilation P Fearnhead, HR Künsch Annual Review of Statistics and Its Application 5 (1), 421-449, 2018	109	2018

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