World's Best Scientists 2026 revealed!
Hans R. Künsch

Hans R. Künsch

D-Index & Metrics

Mathematics

D-Index
40
Citations
10473
World Ranking
1996
National Ranking
35

Overview

Hans R. Künsch is affiliated with ETH Zurich in Switzerland and works primarily in the fields of Earth and Planetary Sciences and Environmental Science. Their research includes multiple subfields such as Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Modeling and Simulation, and Economics and Econometrics.

The major topics of their work cover Meteorological Phenomena and Simulations, COVID-19 epidemiological studies, Climate variability and models, Atmospheric and Environmental Gas Dynamics, Cryospheric studies and observations, Arctic and Antarctic ice dynamics, and Marine and fisheries research.

The scientist has published research in several venues, including:

  • Climate Services
  • The Cryosphere
  • Scandinavian Journal of Statistics
  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • arXiv (Cornell University)

Some of their recent papers are:

  • "CH2018 - National climate scenarios for Switzerland: How to construct consistent multi-model projections from ensembles of opportunity" (2020, Climate Services)
  • "Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter" (2021, The Cryosphere)
  • "Robust estimation for discrete-time state space models" (2020, Scandinavian Journal of Statistics)
  • "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, Journal of the Royal Statistical Society Series A (Statistics in Society))
  • "Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19" (2025, arXiv (Cornell University))

Their frequent coauthors include:

  • Fabio Sigrist
  • Silje Lund Sørland
  • Andreas M. Fischer
  • Sven Kotlarski
  • Mark A. Liniger

Best Publications

  • The Jackknife and the Bootstrap for General Stationary Observations

    Hans R. Kunsch

  • Gaussian Markov random fields

    H. Kunsch

  • Practical identifiability analysis of large environmental simulation models

    Roland Brun;Peter Reichert;Hans R. Künsch

  • Discrimination between monotonic trends and long-range dependence

    H. Künsch

  • Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models

    Hans R. Künsch;Leonard A. Stefanski;Raymond J. Carroll

  • Particle filters for high-dimensional geoscience applications: A review

    Peter Jan van Leeuwen;Peter Jan van Leeuwen;Hans R Künsch;Lars Nerger;Roland Potthast

  • Recursive Monte Carlo filters: algorithms and theoretical analysis

    Hansruedi Künsch

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

    Christoph M. Buser;H. R. Künsch;D. Lüthi;M. Wild

  • Block length selection in the bootstrap for time series

    Peter Bühlmann;Hans R. Künsch

  • Second-order correctness of the blockwise bootstrap for stationary observations

    Friedrich Götze;HR Kunsch

  • Edge effects and efficient parameter estimation for stationary random fields

    R. Dahlhaus;H. Künsch

  • Matched-block bootstrap for dependent data

    Edward Carlstein;D. O. Kim-Anh;Peter Hall;T. I.M. Hesterberg

  • Infinitesimal Robustness for Autoregressive Processes

    H. Kunsch

  • On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes

    Jens Ledet Jensen;Hans R. Künsch

  • A dynamic nonstationary spatio-temporal model for short term prediction of precipitation

    Fabio Sigrist;Hans R. Künsch;Werner A. Stahel

  • Intrinsic autoregressions and related models on the two-dimensional lattice

    Hans R. Künsch

  • Stochastic partial differential equation based modelling of large space–time data sets

    Fabio Sigrist;Hans R. Künsch;Werner A. Stahel

  • Climate change projections for Switzerland based on a Bayesian multi‐model approach

    A. M. Fischer;A. P. Weigel;C. M. Buser;R. Knutti

  • Hidden Markov Random Fields

    Hans Kunsch;Stuart Geman;Athanasios Kehagias

  • Approximating and Maximising the Likelihood for a General State-Space Model

    Markus Hürzeler;Hans R. Künsch

  • Decay of correlations under Dobrushin's uniqueness condition and its applications

    H. Künsch

Frequent Co-Authors

Reto Knutti
Reto Knutti ETH Zurich
Sebastian Reich
Sebastian Reich University of Potsdam
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University
Mark A. Liniger
Mark A. Liniger Federal Office of Meteorology and Climatology
Christof Appenzeller
Christof Appenzeller Federal Office of Meteorology and Climatology
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Martin Wild
Martin Wild ETH Zurich
Roman Ashauer
Roman Ashauer University of York

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Mathematics opens doors to diverse career opportunities, but many students also consider complementary fields to enhance their skills and marketability. For those interested in blending quantitative skills with business acumen, exploring the quickest online mba programs can be a strategic choice. These accelerated options allow professionals to gain leadership expertise without lengthy time commitments.

Similarly, a masters degree in marketing is popular among math graduates aiming to specialize in data-driven marketing roles. Choosing cost-effective and high-return programs can be crucial for balancing education expenses with future earning potential.

The demand for concise education pathways has led to the rise of year long mba programs, offering intensive curricula that fit tight schedules. These programs are ideal for those who want to advance quickly and enter competitive industries equipped with a solid blend of technical and managerial skills.

For students looking to transfer credits and reduce redundancy, considering an online mba accepting transfer credits can streamline the education process. This flexibility is especially beneficial for working professionals or those with prior graduate coursework.

Best Scientists Citing Hans R. Künsch

Trending Scientists

Recently Published Articles