Hans-Rudolf Künsch

Hans-Rudolf Künsch's AcademicInfluence.com Rankings

Hans-Rudolf Künsch

Mathematics

#4372

World Rank

#6227

Historical Rank

Probability Theory

#145

World Rank

#174

Historical Rank

Statistics

#314

World Rank

#376

Historical Rank

Measure Theory

#2780

World Rank

#3318

Historical Rank

mathematics Degrees

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Mathematics

Hans-Rudolf Künsch's Degrees

PhD Mathematics University of Zurich

Why Is Hans-Rudolf Künsch Influential?

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According to Wikipedia, Hans Rudolf Künsch is a Swiss mathematician and statistician based in Zürich, where he has been a professor with the Seminar für Statistik since 1983 at the ETH Zurich. Education and career Künsch studied mathematics at ETH Zürich Künsch worked as a research student at the University of Tokyo with a scholarship grant from the Japanese government. After completing his PhD at ETH Zürich, with a dissertation project under Hans Föllmer and Frank Hampel on Reellwertige Zufallsfelder auf einem Gitter: Interpolationsprobleme, Variationsprinzip und statistische Analyse, he returned to research work in Japan, at the University of Tokyo and the Institute of Statistical Mathematics. Since 1983 he has held various academic positions with his alma mater ETH Zürich.

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Hans-Rudolf Künsch's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The Jackknife and the Bootstrap for General Stationary Observations (1989) (2173)
Practical identifiability analysis of large environmental simulation models (2001) (522)
Discrimination between monotonic trends and long-range dependence (1986) (255)
Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models (1989) (202)
Bayesian multi-model projection of climate: bias assumptions and interannual variability (2009) (188)
Block length selection in the bootstrap for time series (1999) (169)
Particle filters for high‐dimensional geoscience applications: A review (2018) (125)
Infinitesimal Robustness for Autoregressive Processes (1984) (120)
Matched-block bootstrap for dependent data (1995) (112)
On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes (1994) (105)
Climate change projections for Switzerland based on a Bayesian multi‐model approach (2012) (93)
Second-order correctness of the blockwise bootstrap for stationary observations (1996) (91)
Intrinsic autoregressions and related models on the two-dimensional lattice (1987) (89)
Monte Carlo Approximations for General State-Space Models (1998) (88)
Decay of correlations under Dobrushin's uniqueness condition and its applications (1982) (75)
Data Transformation and Uncertainty in Geostatistical Combination of Radar and Rain Gauges (2012) (74)
Robust priors for smoothing and image restoration (1994) (67)
Recursive Monte Carlo filters: algorithms and theoretical analysis (2005) (65)
Approximating and Maximising the Likelihood for a General State-Space Model (2001) (63)
On the pseudo cross-variogram (1993) (60)
Impact of geometrical properties on permeability and fluid phase distribution in porous media (2008) (60)
Contrasts under long-range correlations (1993) (58)
Non reversible stationary measures for infinite interacting particle systems (1984) (57)
Asymptotic Comparison of Estimators in the Ising Model (1992) (51)
The blockwise bootstrap for general parameters of a strationary time series (1993) (50)
A variant of importance splitting for rare event estimation: Fixed number of successes (2011) (48)
Optimal lattices for sampling (2005) (45)
A simulated annealing approach to approximate Bayes computations (2012) (45)
Mixture ensemble Kalman filters (2013) (43)
Statistical Analysis of Ion Channel Data Using Hidden Markov Models With Correlated State-Dependent Noise and Filtering (2001) (42)
Bayesian multi-model projections of climate: generalization and application to ENSEMBLES results (2010) (37)
Some Notes on Rissanen's Stochastic Complexity (1998) (37)
Ensemble data assimilation for earthquake sequences: probabilistic estimation and forecasting of fault stresses (2019) (35)
Assessment of Bias Assumptions for Climate Models (2014) (35)
Localizing the Ensemble Kalman Particle Filter (2016) (28)
Sequential State and Observation Noise Covariance Estimation Using Combined Ensemble Kalman and Particle Filters (2012) (28)
A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model (2009) (27)
A Kalman filter reconstruction of the vertical ozone distribution in an equivalent latitude–potential temperature framework from TOMS/GOME/SBUV total ozone observations (2006) (23)
Robust Methods for Credibility (1992) (22)
A local ensemble transform Kalman particle filter for convective‐scale data assimilation (2017) (22)
On model selection via stochastic complexity in robust linear regression (1998) (22)
Rate estimation in partially observed Markov jump processes with measurement errors (2010) (20)
Biases and Uncertainty in Climate Projections (2010) (19)
spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process (2015) (19)
CH2018 – National climate scenarios for Switzerland: How to construct consistent multi-model projections from ensembles of opportunity (2020) (18)
Robust estimation of the external drift and the variogram of spatial data (2013) (18)
Bayesian experimental design for a toxicokinetic–toxicodynamic model (2012) (18)
A Bayesian Hierarchical Model for Heterogeneous RCM-GCM Multimodel Ensembles (2015) (17)
On trend estimation under monotone Gaussian subordination with long-memory: application to fossil pollen series (2013) (17)
On model selection in robust linear regression (1996) (15)
Particle filters (2013) (14)
Approximate variances for tapered spectral estimates (2010) (14)
The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction (2014) (13)
Recursive Monte Carlo filters (2003) (12)
Estimation of motion from sequences of images: Daily variability of Total Ozone Mapping Spectrometer ozone data (2001) (8)
Asymptotically unbiased inference for Ising models (1983) (7)
An autoregressive spatio-temporal precipitation model (2011) (6)
Prediction of Spatial Cumulative Distribution Functions Using Subsampling: Comment (1999) (6)
Dependence Among Observations: Consequences and Methods to Deal With it (1991) (6)
Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter (2021) (5)
spate: an R Package for Statistical Modeling with SPDE Based Spatio-Temporal Gaussian Processes (2013) (4)
Estimation of Motion from Sequences of Images (2001) (4)
Discussion on the paper by Brooks, Giudici and Roberts (2003) (4)
On the stability of robust filter-cleaners (1988) (3)
Assimilating near real-time mass balance observations into a model ensemble using a particle filter (2020) (2)
Local Ensemble Kalman Particle Filters for efficient data assimilation (2016) (2)
An SPDE Based Spatio-temporal Model for Large Data Sets with an Application to Postprocessing Precipitation Forecasts (2012) (2)
Optimal lattices for interpolation of stationary random fields (2003) (2)
Comment: The 2005 Neyman Lecture: Dynamic Indeterminism in Science (2008) (1)
Conditionally unbiased bounded influence robust regression with applications to generalized linear models (1987) (1)
Bootstrap estimates of the sample bivariate autocorrelation and partial autocorrelation distributions (1993) (1)
Mathematisches Forschungsinstitut Oberwolfach Reassessing the Paradigms of Statistical Model-building (2007) (0)
Mathematisches Forschungsinstitut Oberwolfach Report No . 50 / 2007 Reassessing the Paradigms of Statistical Model-Building Organised (2007) (0)
CRAMPON: a model- and observation-based near real-time platform for glacier mass balance monitoring in Switzerland (2021) (0)
Book reviews (1994) (0)
2 A Continuous Space-Time Model : The Advection-Diffusion SPDE (2013) (0)
Discussion: Influence Functionals for Time Series (1986) (0)
Geostatistical combination of radar and rain gauges – does data transformation improve uncertainty estimates? (2011) (0)
The 2005 Neyman Lecture: Dynamic Indeterminism in Science. Comment. (2008) (0)
Reassessing the Paradigms of Statistical Model-Building (2007) (0)
Index of authors, volume 65, 2003 (2003) (0)
Hans R Künsch and Fabio Sigrist’s contribution to the Discussion of “The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic” (2023) (0)
Robustified maximum likelihood estimation for trend and variogram parameters and kriging predictions (2011) (0)

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Hans-Rudolf Künsch's Degrees

Why Is Hans-Rudolf Künsch Influential?

Hans-Rudolf Künsch's Published Works

Published Works

Other Resources About Hans-Rudolf Künsch

What Schools Are Affiliated With Hans-Rudolf Künsch?

Hans-Rudolf Künsch's AcademicInfluence.com Rankings