Hans R. Künsch's looking at Estimator as part of his Jackknife resampling and Unbiased Estimation and Estimator study. Unbiased Estimation connects with themes related to Estimator in his study. Statistics is closely attributed to State space in his research. His study in Statistics extends to State space with its themes. Econometrics and Linear regression are two areas of study in which he engages in interdisciplinary work. Hans R. Künsch performs multidisciplinary study in Linear regression and Linear model in his work. Hans R. Künsch combines Linear model and Econometrics in his studies. He combines Applied mathematics and Mathematical optimization in his research. He merges Mathematical optimization with Algorithm in his study.
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The Jackknife and the Bootstrap for General Stationary Observations
Hans R. Kunsch.
Annals of Statistics (1989)
Practical identifiability analysis of large environmental simulation models
Roland Brun;Peter Reichert;Hans R. Künsch.
Water Resources Research (2001)
Gaussian Markov random fields
Journal of the Faculty of Science, the University of Tokyo. Sect. 1 A, Mathematics (1979)
Discrimination between monotonic trends and long-range dependence
Journal of Applied Probability (1986)
Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
Hans R. Künsch;Leonard A. Stefanski;Raymond J. Carroll.
Journal of the American Statistical Association (1989)
Recursive Monte Carlo filters: algorithms and theoretical analysis
Annals of Statistics (2005)
Bayesian multi-model projection of climate: bias assumptions and interannual variability
Christoph M. Buser;H. R. Künsch;D. Lüthi;M. Wild.
Climate Dynamics (2009)
Second-order correctness of the blockwise bootstrap for stationary observations
Friedrich Götze;HR Kunsch.
Annals of Statistics (1996)
Block length selection in the bootstrap for time series
Peter Bühlmann;Hans R. Künsch.
Computational Statistics & Data Analysis (1999)
Edge effects and efficient parameter estimation for stationary random fields
R. Dahlhaus;H. Künsch.
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