Fitting Censored and Truncated Regression Data Using the Mixture of Experts Models
Author:
Affiliation:
1. Department of Risk Management and Insurance, Georgia State University, Atlanta, Georgia
2. Department of Statistical Sciences, University of Toronto, Ontario Power Building, Toronto, Ontario, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10920277.2021.2013896
Reference33 articles.
1. Micro-level stochastic loss reserving for general insurance
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