Vidyadhar S. Mandrekar, Leszek Gawarecki

eBook, PDF

Stochastic Analysis for Gaussian Random Processes and Fields (eBook, PDF)

With Applications

Beschreibung

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).The book begins with preliminary results on covariance and associated RKHS

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 2.21MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

Vidyadhar Mandrekar is a professor in the Department of Statistics and Probability at Michigan State University. He earned a PhD in statistics from Michigan State University. His research interests include stochastic partial differential equations, stationary and Markov fields, stochastic stability, and signal analysis.

Leszek Gawarecki is head of the Department of Mathematics at Kettering University. He earned a PhD in statistics from Michigan State University. His research interests include stochastic analysis and stochastic ordinary and partial differential equations.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 201
• Erscheinungstermin: 23. Juni 2015
• Englisch
• ISBN-13: 9781498707824
• Artikelnr.: 43131671