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Number of items: 12.

Oesting, Marco and Strokorb, Kirstin 2021. A comparative tour through the simulation algorithms for max-stable processes. Statistical Science
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Brehmer, Jonas R. and Strokorb, Kirstin 2019. Why scoring functions cannot assess tail properties. Electronic Journal of Statistics 13 (2) , pp. 4015-4034. 10.1214/19-EJS1622
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Oesting, Marco and Strokorb, Kirstin 2018. Efficient simulation of Brown-Resnick processes based on variance reduction of Gaussian processes. Advances in Applied Probability 50 (4) , pp. 1155-1175. 10.1017/apr.2018.54
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Fiebig, Ulf-Rainer, Strokorb, Kirstin and Schlather, Martin 2017. The realization problem for tail correlation functions. Extremes 20 , pp. 121-168. 10.1007/s10687-016-0250-8
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Papastathopoulos, I., Strokorb, K., Tawn, J. A. and Butler, A. 2017. Extreme events of Markov chains. Advances in Applied Probability 49 (1) , pp. 134-161. 10.1017/apr.2016.82
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Molchanov, Ilya and Strokorb, Kirstin 2016. Max-stable random sup-measures with comonotonic tail dependence. Stochastic Processes and their Applications 126 (9) , pp. 2835-2859. 10.1016/j.spa.2016.03.004
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Papastathopoulos, Ioannis and Strokorb, Kirstin 2016. Conditional independence among max-stable laws. Statistics and Probablity Letters 108 , pp. 9-15. 10.1016/j.spl.2015.08.008
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Strokorb, Kirstin, Ballani, Felix and Schlather, Martin 2015. Tail correlation functions of max-stable processes. Extremes 18 , pp. 241-271. 10.1007/s10687-014-0212-y
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Strokorb, Kirstin and Schlather, Martin 2015. An exceptional max-stable process fully parameterized by its extremal coefficients. Bernoulli 21 (1) , pp. 276-302. 10.3150/13-BEJ567
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Schlather, Martin, Malinowski, Alexander, Menck, Peter J., Oesting, Marco and Strokorb, Kirstin 2015. Analysis, simulation and prediction of multivariate random fields with package RandomFields. Journal of Statistical Software 63 (8) 10.18637/jss.v063.i08
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Strokorb, Kirstin 2013. Characterization and construction of max-stable processes. PhD Thesis, eDiss University of Goettingen.
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Strokorb, Kirstin 2010. Eine holomorphe Untersuchung des verallgemeinerten Seiberg-Witten-Modulraumes für Gibbons-Hawking-Faserungen. Mathematisches Institut, Universität Göttingen, Germany.
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This list was generated on Fri Feb 26 04:20:25 2021 GMT.


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