Programme

Tentative workshop programme.

Day	Time	Activity
Mon 15 June Day 1	08:00-	Registration
	08:50-09:00	Welcome intro
	09:00-10:15	Session 1: Bayesian Inference and Gaussian Processes Maximilian Siebel Jan Glaubitz Erik Karlsson Strandh
	10:15-10:45	Coffee break
	10:45-12:00	Session 2: Learning-Based Diffusion Inference Yating Liu Elise Bayraktar Shanshan Meng
	12:00-13:30	Lunch
	13:30-14:45	Session 3: Numerical Methods for SDEs Anna Melnykova Predrag Pilipović Massimiliano Tamborrino
	14:45-15:15	Coffee break
	15:15-17:00	Session 4: Lévy Processes and Jumps Anita Behme Stepan Mazur Cecilia Mancini Jiaming Chen
	17:15-19:00	Poster session
Tue 16 June Day 2	09:00-10:15	Session 5: Forecasting and Filtering Leonardo Bardi Zheng Zhao Dennis Schroers
	10:15-10:45	Coffee break
	10:45-12:00	Session 6: Dependence and Prediction Johannes Brutsche Pavel Chigansky Fima Klebaner
	12:00-13:30	Lunch
	13:30-15:10	Session 7: Volatility and High-Dimensional Inference Grégoire Szymanski Niklas Dexheimer Lukas Riepl Orimar Sauri
	15:10-15:15	DYNSTOCH matters
	18:00-21:00	Conference dinner
Wed 17 June Day 3	09:00-10:15	Session 8: Density Estimation for Diffusions Yuga Iguchi Felix Schürzinger Nakahiro Yoshida
	10:15-10:45	Coffee break
	10:45-12:00	Session 9: SPDEs Masayuki Uchida Salvador Ortiz-Latorre Björn Müller
	12:00-13:30	Lunch
	13:30-14:45	Session 10: Testing and Mean-Field Dynamics Justin R. Baars Fabrice Wunderlich Ekaterina Morozova
	14:45-15:15	Coffee break
	15:15-17:00	Session 11: Inference for Structured Stochastic Models Hiroki Masuda Henrik Häggström Tobias Ambjörnsson Jhonier Rangel
	17:00-17:10	Closing