title: Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems
author: Michel Denuit
description: "An excellent text on experience rating that picks up the actuarial reader at almost every level. The authors have found an excellent balance between theory and practice." (<i>Journal of the American Statistical Association</i>, June 2009)
zlib_text: Claim Models
  Granular Forms and Machine 
  Learning Forms
  Printed Edition of the Special Issue Published in Risks
  www.mdpi.com/journal/risks
  Greg Taylor 
  Edited by
  
  Claim Models
  
  Claim Models
  Granular Forms and Machine Learning Forms
  Special Issue Editor
  Greg Taylor
  MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin
  
  Special Issue Editor
  Greg Taylor
  University of New South Wales
  Australia
  Editorial Ofﬁce
  MDPI
  St. Alban-Anlage 66
  4052 Basel, Switzerland
  This is a reprint of articles from the Special Issue published online in the open access journal Risks
  (ISSN 2227-9091) (available at:
  https://www.mdpi.com/journal/risks/special issues/learning
  forms).
  For citation purposes, cite each article independently as indicated on the article page online and as
  indicated below:
  LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number,
  Page Range.
  ISBN 978-3-03928-664-5 (Pbk)
  ISBN 978-3-03928-665-2 (PDF)
  c⃝ 2020 by the a