D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 33 Citations 7,726 75 World Ranking 2136 National Ranking 40

Overview

What are the main themes of his work throughout his whole career to date

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.

Hans R. Künsch most often published in these fields:

  • Statistics (100.00%)
  • Estimator (66.67%)
  • Econometrics (66.67%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Jackknife and the Bootstrap for General Stationary Observations

Hans R. Kunsch.
Annals of Statistics (1989)

2577 Citations

Practical identifiability analysis of large environmental simulation models

Roland Brun;Peter Reichert;Hans R. Künsch.
Water Resources Research (2001)

623 Citations

Gaussian Markov random fields

H. Kunsch.
Journal of the Faculty of Science, the University of Tokyo. Sect. 1 A, Mathematics (1979)

473 Citations

Discrimination between monotonic trends and long-range dependence

H. Künsch.
Journal of Applied Probability (1986)

320 Citations

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)

260 Citations

Recursive Monte Carlo filters: algorithms and theoretical analysis

Hansruedi Künsch.
Annals of Statistics (2005)

246 Citations

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

Christoph M. Buser;H. R. Künsch;D. Lüthi;M. Wild.
Climate Dynamics (2009)

213 Citations

Second-order correctness of the blockwise bootstrap for stationary observations

Friedrich Götze;HR Kunsch.
Annals of Statistics (1996)

202 Citations

Block length selection in the bootstrap for time series

Peter Bühlmann;Hans R. Künsch.
Computational Statistics & Data Analysis (1999)

196 Citations

Edge effects and efficient parameter estimation for stationary random fields

R. Dahlhaus;H. Künsch.
Biometrika (1987)

161 Citations

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