Testing for random effects in compound risk models via Bregman divergence
Year of publication: |
2020
|
---|---|
Authors: | Jeong, Himchan |
Published in: |
ASTIN bulletin : the journal of the International Actuarial Association. - Cambridge : Cambridge Univ. Press, ISSN 1783-1350, ZDB-ID 2148228-7. - Vol. 50.2020, 3, p. 777-798
|
Subject: | Bayesian sensitivity analysis | Bregman divergence | compound random effects model | generalized linear model (GLM) | generalized Pareto (GP) | model selection | prior elicitation | Two-part frequency-severity model | Schätztheorie | Estimation theory | Mehrebenenanalyse | Multi-level analysis | Bayes-Statistik | Bayesian inference | Sensitivitätsanalyse | Sensitivity analysis |
-
Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay
Danthurebandara, Vishva Manohara, (2011)
-
Empirical hierarchical modelling for count data using the spatial random effects model
Sengupta, Aritra, (2013)
-
Unreported standard errors in meta-analysis
Longford, Nicholas T., (2021)
- More ...
-
Association rules for understanding policyholder lapses
Jeong, Himchan, (2018)
-
Application of a vine copula for multi-line insurance reserving
Jeong, Himchan, (2020)
-
Tzougas, George, (2021)
- More ...