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Graphical modeling of extremes — Max-linear models on directed acyclic graphs. Model distances, block maxima and repeated measurements in the context of vine copulas.
Time series analysis in Munchen dissertationen spaces — Estimation of functional linear processes and prediction of traffic. D-vine copula based quantile regression and the simplifying assumption for vine copulas.
Tempo-Spatial Stochastic Integral Processes: Conditional extreme value analysis for random vectors using polar representations. Estimating standard errors and efficient goodness-of-fit tests for regular vine copula models.
Pair-copula constructions for non-Gaussian Bayesian networks. Turbulence modelling by time-series methods — A non-parametric approach. Regular Vine Copulas with the simplifying assumption, time-variation, and mixed discrete and continuous margins.
On the estimation of jumps of continuous-time stochastic processes.
Stochastic processes beyond semimartingales with application to interest rates, credit risk and volatility modeling.
Modeling different dependence structures involving count data with applications to insurance, economics and genetics. Hierarchical Bayesian spatial regression models with applications to non-life insurance.
Integrated risk management when the stock price follows an exponential Levy process. On Dependence and Extremes. Optimal Portfolios with Bounded Downside Risks.
Dissertation, more… Severin, Martin: Modelling Delay in Claim Settlement: Dissertation, more… .Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study.
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