âThe book is organized and structured well; most of the chapters are self-contained. This book includes many useful topics and techniques for established, early career researchers and doctoral students alike. ⊠this edited volume will be of interest to researchers working in this area. The book offers substantial and stimulating information and knowledge for the benefit of a host of a larger research group. I enjoyed reading some of the chapters of the book and found them interesting and useful.â (S. Ejaz Ahmed, Technometrics, Vol. 59 (1), January, 2017)<p></p>
Produktdetaljer
Biographical note
Mark Podolskij since 2014 Full Professor at Aarhus University; 2010-2014 Full Professor at Heidelberg University; PostDoc: 2008-2010 ETH Zurich, 2007-2008 University of Aarhus; 2006: PhD at Ruhr-University of Bochum. Research interests: Asymptotic theory for high frequency data, inference for stochastic processes, semimartingales, stochastic analysis, Malliavin calculus, Stein's method.
Robert Stelzer since 2011 Full Professor and Director of the Institute of Mathematical Finance at Ulm University; 2008-2011 Carl-von-Linde Junior Fellow at the Institute for Advanced Study, TU Munich; 2007: PhD at TU Munich. Research interests: Financial mathematics, stochastic volatility models, stochastic processes, LĂ©vy processes, (multivariate) time series analysis, random matrices, extreme value theory.
Steen ThorbjĂžrnsen since 2006 Associate Professor at the University of Aarhus; 2003-2006 Associate Professor at the University of Southern Denmark; 2000-2003 Assistant Professorat the University of Southern Denmark; 1999 Ph.D at the University of Southern Denmark. Research interests: Free probability theory, Random matrices, LĂ©vy processes and bases, operator algebras.
Almut E. D. Veraart since 2014 Reader in Statistics at Imperial College London; 2011-2014 Lecturer in Statistics at Imperial College London; 2010-2011 Assistant Professor, Aarhus University, 2007-2010 Postdoc, Aarhus University; 2008: DPhil in Statistics at University of Oxford. Research interests: Statistical inference for stochastic processes, applied probability, financial econometrics, financial mathematics; stochastic volatility models, LĂ©vy processes, high frequency data, ambit stochastics, stochastic modelling of energy markets.