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Klüppelberg, C. and Krali, M.
Estimating an Extreme Bayesian Network via Scalings
Preprint
2019
Buhl, S. and Klüppelberg, C.
Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes
Extremes
2019
22
2
Jun
223-269
Sen, R. and Klüppelberg, C.
Time series of functional data with application to yield curves
Applied Stochastic Models in Business and Industry
2019
35
4
Mar
1028-1043
Klüppelberg, C. and Lauritzen, S.
Bayesian Networks for Max-linear Models
Network Science - An Aerial View from Different Perspectives
Biagini, F. and Kauermann, G. and Meyer-Brandis, T.
Springer
2019
Do Rêgo Sousa, T., Haug, S., and Klüppelberg, C.
Indirect inference for Lévy-driven continuous-time GARCH models.
Scandinavian Journal of Statistics
2019
46
3
Sep
765-801
Klüppelberg, C. and Seifert, M.
Explicit results on conditional distributions of generalized exponential mixtures
Preprint
2019
Apr
Das, B., Fasen-Hartmann, V., and Klüppelberg, C.
Tail probabilities of random linear functions of regularly varying random vectors
Preprint
2019
Apr
Davis, R., do Rêgo Sousa, T., and Klüppelberg, C.
Indirect Inference for Time Series Using the Empirical Characteristic Function and Control Variates
Preprint
2019
Apr
Klüppelberg, C. and Pham, V.S.
Estimation of causal CARMA random fields
Preprint
2019
Gissibl, N., Klüppelberg, C. and Lauritzen, S.
Identifiability and estimation of recursive max-linear models
Preprint
2019
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