Statistical Computing in Nuclear Imaging - Couverture souple

Sitek, Arkadiusz

Couverture souple

ISBN 10 : 0367783630 ISBN 13 : 9780367783631

Editeur : CRC Press, 2021

Synopsis

This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting statistics are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior a

A propos du livre

À propos de l?auteur

Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has worked as a nuclear imaging scientist in the Lawrence Berkeley National Laboratory, Beth Israel Medical Center, and Brigham and Women's Hospital before joining Massachusetts General Hospital. He has authored more than 100 scientific journal and proceedings papers, book chapters, and patents, and served as a principal investigator on nuclear imaging research projects. Dr. Sitek is a practitioner of the Bayesian school of thought and a member of the International Society for Bayesian Analysis.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 0367783630
• ISBN 13: 9780367783631
• Reliure: Broché
• Nombre de pages: 276
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible