Stochastik, Statistik und Finanzmathematik – DMV-Jahrestagung 2019, 23.-26. September

	Raum	Beginn	Name	Titel
Montag 23.9.	SR 2.067	15:30	Fadoua Balabdaoui	Least squares estimation of a completely monotone pmf: from Analysis to Statistics
		16:10	Rebecca Daum	Efficient Design of Large Sliced Latin Hypercube Samples
		16:30	Jürgen Kampf	Testing for affinity of the regression function in boundary regression
		16:50	Henryk Zähle	Donsker results for the smoothed empirical process
Mittwoch 25.9.	SR 2.067	15:30	Max von Renesse	Coalescing-fragmentating Wasserstein dynamics
		16:10	Sandra Kliem	The one-dimensional KPP equation driven by space-time white noise
		16:30	Lutz Mattner	A convolution inequality, yielding a sharper Berry-Esseen theorem for summands Zolotarev-close to normal
		16:50	Jan Nagel	The speed of biased random walk among random conductances
		17:10	Wolfgang Löhr	A new Space of Algebraic Measure Trees as State-Space for Stochastic Processes
Donnerstag 26.9.	SR 2.067	10:00	Thorsten Schmidt	Affine processes under parameter uncertainty
		11:00	Sophie Langer	Deep versus Deeper Learning
		11:20	Sebastian Lerch	Predictive Inference Based on Markov Chain Monte Carlo Output
		11:40	Tobias Fissler	Elicitability and Identifiability of Systemic Risk Measures and other Set-Valued Functionals