Likelihood-based and Bayesian methods for Tweedie compound Poisson linear mixed models
Y Zhang - Statistics and Computing, 2013 - Springer
Abstract The Tweedie compound Poisson distribution is a subclass of the exponential
dispersion family with a power variance function, in which the value of the power index lies …
dispersion family with a power variance function, in which the value of the power index lies …
[图书][B] Fundamental aspects of operational risk and insurance analytics: A handbook of operational risk
MG Cruz, GW Peters, PV Shevchenko - 2015 - books.google.com
A one-stop guide for the theories, applications, and statistical methodologies essential to
operational risk Providing a complete overview of operational risk modeling and relevant …
operational risk Providing a complete overview of operational risk modeling and relevant …
Insurance premium prediction via gradient tree-boosted Tweedie compound Poisson models
The Tweedie GLM is a widely used method for predicting insurance premiums. However, the
structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can …
structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can …
A Bayesian log-normal model for multivariate loss reserving
The correlation among multiple lines of business plays an important role in quantifying the
uncertainty of loss reserves for insurance portfolios. To accommodate correlation, most …
uncertainty of loss reserves for insurance portfolios. To accommodate correlation, most …
Predicting multivariate insurance loss payments under the bayesian copula framework
The literature of predicting the outstanding liability for insurance companies has undergone
rapid and profound changes in the past three decades, most recently focusing on Bayesian …
rapid and profound changes in the past three decades, most recently focusing on Bayesian …
Implementing loss distribution approach for operational risk
PV Shevchenko - Applied Stochastic Models in Business and …, 2010 - Wiley Online Library
In order to quantify the operational risk capital charge under the current regulatory
framework for banking supervision, referred to as Basel II, many banks adopt the loss …
framework for banking supervision, referred to as Basel II, many banks adopt the loss …
[PDF][PDF] Stochastic loss reserving using generalized linear models
G Taylor, G McGuire - CAS Monograph, 2016 - casact.org
The chain ladder is the most ubiquitous of loss reserving models. For much of its life it
existed as an algorithm rather than a model. Here “algorithm” implies a mere calculation …
existed as an algorithm rather than a model. Here “algorithm” implies a mere calculation …
Estimating quantile families of loss distributions for non-life insurance modelling via L-moments
This paper discusses different classes of loss models in non-life insurance settings. It then
overviews the class of Tukey transform loss models that have not yet been widely …
overviews the class of Tukey transform loss models that have not yet been widely …
Stochastic loss reserving with dependence: A flexible multivariate Tweedie approach
Stochastic loss reserving with dependence has received increased attention in the last
decade. A number of parametric multivariate approaches have been developed to capture …
decade. A number of parametric multivariate approaches have been developed to capture …
Estimating loss reserves using hierarchical Bayesian Gaussian process regression with input warping
N Lally, B Hartman - Insurance: Mathematics and Economics, 2018 - Elsevier
In this paper, we visualize the loss reserve runoff triangle as a spatially-organized data set.
We apply Gaussian Process (GP) regression with input warping and several covariance …
We apply Gaussian Process (GP) regression with input warping and several covariance …