Research output per year
Research output per year
Personal profile
Research Overview
Professor Huser's main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, and statistical approaches for large datasets, with particular focus on environmental applications such as the prediction of extreme flooding, droughts, and wind gusts. He develops statistical models for rare events, as well as efficient inference methods to fit them to data.
Key Research Areas
Applied Mathematics and Computational Science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education
Statistics, Ph.D., Swiss Federal Institute of Technology Lausanne
2013
Award Date: Jan 1 2013
Applied Mathematics, M.S., Swiss Federal Institute of Technology Lausanne
2009
Award Date: Jan 1 2009
Mathematics, B.S., Swiss Federal Institute of Technology Lausanne
2007
Award Date: Jan 1 2007
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model
Hazra, A. & Huser, R., Jun 1 2021, In: The Annals of Applied Statistics. 15, 2Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Landslide size matters: A new data-driven, spatial prototype
Lombardo, L., Tanyas, H., Huser, R., Guzzetti, F. & Castro-Camilo, D., Jul 24 2021, In: Engineering Geology. p. 106288Research output: Contribution to journal › Article › peer-review
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Max-and-Smooth: A Two-Step Approach for Approximate Bayesian Inference in Latent Gaussian Models
Hrafnkelsson, B., Siegert, S., Huser, R., Bakka, H. & Johannesson, A., 2021, In: BAYESIAN ANALYSIS. 16, 2, p. 611-638 28 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Advances in statistical modeling of spatial extremes
Huser, R. & Wadsworth, J. L., Nov 20 2020, In: WIREs Computational Statistics.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation
Bopp, G. P., Shaby, B. A. & Huser, R., Apr 2 2020, In: Journal of the American Statistical Association. p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
Huser, R., Jan 16 2020, In: Extremes.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Effects of fuel composition variability on high temperature combustion properties: A statistical analysis
Khandavilli, M., Yalamanchi, K. K., Huser, R. & Sarathy, M., Dec 2020, In: Applications in Energy and Combustion Science. 1-4, p. 100012Research output: Contribution to journal › Article › peer-review
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Max-infinitely divisible models and inference for spatial extremes
Huser, R., Opitz, T. & Thibaud, E., Sep 4 2020, In: Scandinavian Journal of Statistics.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Prizes and Honors
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1st prize: Ph.D. poster competition at the Workshop on Environmetrics, NCAR
Huser, Raphael (Recipient), 2010
Prize: Award or Honor › Early Career or Student Award
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2nd prize: M.S. project poster competition, Institute of Mathematics, EPFL, Lausanne, CH
Huser, Raphael (Recipient), 2009
Prize: Award or Honor › Early Career or Student Award
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Elected Member of the International Statistical Institute (ISI)
Huser, Raphael (Recipient), 2016
Prize: Award or Honor › Learned Society
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