Thomas Opitz
Finance · 2013–2021
A researcher in the Science corpus: 7 papers; trusts 71 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Finance — 90 citations into it; #2,699 of 10,518 by trust here, #7,251 by citations
- Statistics and Probability — 67 citations into it; #4,086 of 12,932 by trust here, #5,857 by citations
- Global and Planetary Change — 55 citations into it; #6,452 of 10,225 by trust here, #7,711 by citations
- Economics and Econometrics — 44 citations into it
- Environmental Engineering — 33 citations into it; #1,024 of 5,479 by trust here, #3,797 by citations
- Artificial Intelligence — 28 citations into it; #11,737 of 35,345 by trust here, #25,040 by citations
- Management Science and Operations Research — 16 citations into it
- Demography — 15 citations into it
Whom Thomas Opitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. C. Davison
- Jennifer L. Wadsworth
- Raphaël Huser
- Emeric Thibaud
- Mathieu Ribatet
- Håvard Rue
- Jonathan A. Tawn
- Simone A. Padoan
- Alan Genz
- Laurens de Haan
Who trusts Thomas Opitz overall
- Raphaël Huser
- Nikolay Pavlovich Laptev
- Jennifer L. Wadsworth
- Jonathan Koh
- Emeric Thibaud
- Jason Yosinski
- Axel Bucher
- Daniel Cooley
- Marc G. Genton
- Lingxue Zhu
Papers from Thomas Opitz's perspective
Ordered by how strongly the researchers Thomas Opitz trusts endorse each paper. Same corpus, a different order for every researcher.
- An Introduction to Statistical Modeling of Extreme Values
- Hierarchical Modeling and Analysis for Spatial Data
- Models for Stationary Max-Stable Random Fields
- Likelihood-Based Inference for Max-Stable Processes
- Stationary max-stable fields associated to negative definite functions.
- Extreme value theory : an introduction
- Statistics of Extremes (International Encyclopedia of Statistical Science)
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Statistical Inference Using Extreme Order Statistics
- Statistics of Extremes: Theory and Applications (Technometrics)
Their papers
- Efficient inference and simulation for elliptical Pareto processes (2013) — 108 citations
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (2018) — 106 citations
- Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (2021) — 53 citations
- Space-time landslide predictive modelling (2019) — 179 citations
- Extremal dependence of random scale constructions (2018) — 47 citations
- Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures (2016) — 113 citations
- Modeling asymptotically independent spatial extremes based on Laplace random fields (2015) — 67 citations