Dr. Björn Kriesche

Kurz-Lebenslauf

seit Okt 2012: Wissenschaftlicher Mitarbeiter und Doktorand am Institut für Stochastik, Universität Ulm
Dez 2010 - Sep 2012: Studentischer Mitarbeiter am Institut für Stochastik, Universität Ulm
Okt 2010 - Sep 2012: Master of Science in Wirtschaftsmathematik, Universität Ulm
Aug 2009 - Sep 2009: Praktikum bei der HDI Gerling Leben in Köln
Okt 2007 - Sep 2010: Bachelor of Science in Wirtschaftsmathematik, Universität Ulm

Forschungstätigkeit

Im Rahmen meiner Doktorarbeit mit dem Arbeitstitel Stochastic risk analysis based on geographically mapped data bearbeite ich folgende Projekte:

Modellbasierte Prognose gebietsbezogener Wahrscheinlichkeiten für das Auftreten von Wetterereignissen

Statistische Schätzung von Populationsdichtekarten aus archäologischen Radiokarbondaten für Nordamerika

Publikationen und Vorträge

Publikationen und Working Papers

B. Kriesche, H. Weindl, A. Smolka, V. Schmidt: Stochastic simulation model for tropical cyclone tracks, with special emphasize on landfall behavior (2014). Natural Hazards 73(2), pp 335-353.
B. Kriesche, R. Hess, B. Reichert, V. Schmidt: A probabilistic approach to the prediction of area weather events, applied to precipitation (2015). Spatial Statistics 12, pp 15-30.
M. Chaput, B. Kriesche, M. Betts, A. Martindale, R. Kulik, V. Schmidt, K. Gajewski: Spatio-temporal distribution of Holocene populations in North America (2015). Proceedings of the National Academy of Sciences 112 (39), pp 12127–12132.
B. Kriesche, A. Koubek, Z. Pawlas, V. Benes, R. Hess, V. Schmidt: A model-based approach to the computation of area probabilities for precipitation exceeding a certain threshold (2015). Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast, Australia, 2103-2109.
A. Koubek, Z. Pawlas, T. Brereton, B. Kriesche and V. Schmidt: Testing the random field model hypothesis for random marked closed sets (2016). Spatial Statistics 16, pp 118-136.
B. Kriesche, A. Koubek, Z. Pawlas, V. Benes, R. Hess, V. Schmidt: On the computation of area probabilities based on a spatial stochastic model for precipitation cells and precipitation amounts (2016). Stochastic Environmental Research and Risk Assessment (accepted).
B. Kriesche, R. Hess, V. Schmidt: A point process approach for the spatial stochastic modeling of thunderstorm cells (in preparation).
B. Kriesche, M. Chaput, R. Kulik, K. Gajewski, V. Schmidt: Estimation of spatio-temporal correlations of prehistoric population and vegetation in North America (in preparation).

Vorträge

A model-based approach to the computation of area probabilities for precipitation exceeding a certain threshold. Workshop on Uncertainty Modeling in the Analysis of Weather, Climate and Hydrological Extremes, 16.06.2016, Banff.
A model-based approach to the computation of area probabilities for precipitation exceeding a certain threshold. 13th International Meeting on statistical Climatology, 08.06.2016, Canmore.
A model-based approach to the computation of area probabilities for precipitation exceeding a certain threshold. 21st International Congress on Modelling and Simulation, 01.12.2015, Gold Coast.
On the computation of area precipitation exceedance probabilities by modeling precipitation amounts. STOCHASTIKA 2015, 10.02.2015, Kohutka.
Stochastic modeling of spatially resolved data, with applications to the prediction of area weather events. Charles University, 21.10.2014, Prag.
Stochastic modeling of spatially resolved data, with applications to the prediction of area weather events. University of Ottawa, 18.9.2014, Ottawa.
A probabilistic approach to the prediction of area-related weather events. 11th German Probability and Statistics Days, 4.3.-7.3.2014, Ulm.
Stochastic simulation model for tropical cyclone tracks: Improvements of landfall behavior. 4th International Summit on Hurricanes and Climate Change, 13.6.-18.6.2013, Kos, Greece.

Abschlussarbeiten

Improved stochastic modeling and simulation of tropical cyclone tracks at landfall. Masterarbeit in Wirtschaftsmathematik, Universität Ulm, 2012. (Im Rahmen des Forschungsprojektes Statistische Raum-Zeit-Analyse von Zugbahndaten tropischer Wirbelstürme unter Berücksichtigung von Klimaphasen und Trends im Nordwestpazifik und im Atlantik)
Estimating the spatial correlations of a U.S. house price index. Bachelorarbeit in Wirtschaftsmathematik, Universität Ulm, 2010.