Raphaël Huser
Finance · 2012–2019
A researcher in the Science corpus: 14 papers; trusts 104 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Finance — 181 citations into it; #947 of 10,518 by trust here, #1,528 by citations
- Statistics and Probability — 128 citations into it; #4,227 of 12,932 by trust here, #5,481 by citations
- Global and Planetary Change — 114 citations into it; #671 of 10,225 by trust here, #2,778 by citations
- Economics and Econometrics — 83 citations into it; #4,181 of 23,481 by trust here, #10,133 by citations
- Environmental Engineering — 63 citations into it; #923 of 5,479 by trust here, #1,805 by citations
- Artificial Intelligence — 50 citations into it
- Management Science and Operations Research — 24 citations into it
- Demography — 23 citations into it; #579 of 4,236 by trust here, #1,806 by citations
Whom Raphaël Huser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. C. Davison
- Simone A. Padoan
- Mathieu Ribatet
- Jennifer L. Wadsworth
- Martin Schlather
- Laurens de Haan
- Emeric Thibaud
- Cristiano Varin
- Jonathan A. Tawn
- Thomas Opitz
Who trusts Raphaël Huser overall
- Emeric Thibaud
- A. C. Davison
- Thomas Opitz
- Pavel Krupskii
- Marc G. Genton
- John H. J. Einmahl
- Raphaël de Fondeville
- Sebastian Engelke
- Axel Bucher
- Jennifer L. Wadsworth
Papers from Raphaël Huser's perspective
Ordered by how strongly the researchers Raphaël Huser trusts endorse each paper. Same corpus, a different order for every researcher.
- An Introduction to Statistical Modeling of Extreme Values
- Likelihood-Based Inference for Max-Stable Processes
- Extreme value theory : an introduction
- Models for Stationary Max-Stable Random Fields
- Hierarchical Modeling and Analysis for Spatial Data
- Stationary max-stable fields associated to negative definite functions.
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Model‐based geostatistics
- Statistical Inference Using Extreme Order Statistics
- A conditional approach for multivariate extreme values (with discussion)
Their papers
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (2018) — 106 citations
- Modeling Spatial Processes with Unknown Extremal Dependence Class (2017) — 149 citations
- Likelihood estimators for multivariate extremes (2014) — 68 citations
- Non-Stationary Dependence Structures for Spatial Extremes (2014) — 86 citations
- Composite likelihood estimation for the Brown–Resnick process (2013) — 153 citations
- Factor Copula Models for Replicated Spatial Data (2015) — 91 citations
- Space-time landslide predictive modelling (2019) — 179 citations
- Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides (2018) — 74 citations
- Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks (2017) — 54 citations
- Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures (2016) — 113 citations
- Modeling jointly low, moderate, and heavy rainfall intensities without a threshold selection (2016) — 189 citations
- Statistics of Extremes (2015) — 63 citations
- Geostatistics of Dependent and Asymptotically Independent Extremes (2013) — 123 citations
- Space–time modelling of extreme events (2012) — 238 citations