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Modeling and statistical inference of random functions including (but not limited to) stochastic processes in time and space is a classical task of probability theory and mathematical statistics. Over the last years, a significant progress has been made within this theory, for instance, in geometric and topological methods, point processes and extremes, space-time dynamics, multivariate time series, to name just a few.

The German-Japanese Autumn School "Time series, random fields and beyond“ is a tribute to these recent developments trying to make them accessible to a broader audience of young researchers. It is the fourth event in the line of German-Japanese scientific meetings such as workshops on Risk and Statistics (Ulm, 2019 and ) which have been jointly organized by the Institute of Statistical Mathematics (Tokyo), Tohoku University (Sendai), University of Tokyo, and Îçҹ̽»¨.

The scientific agenda of the school includes 6 lecture cycles given by international leading experts in the field followed by a number of invited research talks as well as a poster section for young researchers. Its aim is to provide a forum for vivid scientific discussions and foster new fruitful cooperations between Japanese and German researchers.