Statistical Methods for Stochastic Differential Equations (BOK)

Michael Sorensen, Mathieu Kessler, Alexander Lindner

939,00 93900
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The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each self-contained chapter starts with introductions to the topic at hand and builds gradually towards discussing recent research. The book covers Wiener-driven equations as well as stochastic differential equations with jumps, including continuous-time ARMA processes and COGARCH processes. It presents a spectrum of estimation methods, including nonparametric estimation as well as parametric estimation based on likelihood methods, estimating functions, and simulation techniques. Two chapters are devoted to high-frequency data. Multivariate models are also considered, including partially observed systems, asynchronous sampling, tests for simultaneous jumps, and multiscale diffusions. Statistical Methods for Stochastic Differential Equations is useful to the theoretical statistician and the probabilist who works in or intends to work in the field, as well as to the applied statistician or financial econometrician who needs the methods to analyze biological or financial time series.


Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2012 Forfatter Alexander Lindner, Mathieu Kessler, Michael Sorensen
ISBN 9781439849408
Antall sider 507 Dimensjoner 15,6cm x 23,5cm x 3,3cm
Vekt 900 gram Leverandør Bertram Trading Ltd
Emner og form Probability & statistics, Differential calculus & equations