Zobrazeno 1 - 10
of 111
pro vyhledávání: '"L. Badescu"'
Publikováno v:
North American Actuarial Journal. 26:496-520
Publikováno v:
Annals of Actuarial Science. :1-22
This paper introduces a new julia package, LRMoE, a statistical software tailor-made for actuarial applications, which allows actuarial researchers and practitioners to model and analyse insurance loss frequencies and severities using the Logit-weigh
Publikováno v:
North American Actuarial Journal. 25:206-231
Insurance loss severity data often exhibit heavy-tailed behavior, complex distributional characteristics such as multimodality, and peculiar links between policyholders’ risk profiles and claim amo...
Publikováno v:
Insurance: Mathematics and Economics. 89:111-127
In the Property and Casualty (PC and Expert functions, which govern the distributional properties of the claims. Also, upon the development of denseness theory in regression setting, we can heuristically interpret the LRMoE as a “fully flexible”
Publikováno v:
ASTIN Bulletin. 49:647-688
This paper focuses on the estimation and application aspects of the Erlang count logit-weighted reduced mixture of experts model (EC-LRMoE), which is a fully flexible multivariate insurance claim frequency regression model. We first prove the identif
Publikováno v:
ASTIN Bulletin. 49:709-739
Incurred but not reported (IBNR) loss reserving is of great importance for Property & Casualty (P&C) insurers. However, the temporal dependence exhibited in the claim arrival process is not reflected in many current loss reserving models, which might
Publikováno v:
Scandinavian Actuarial Journal. 2019:686-710
Modeling multivariate time-series aggregate losses is an important actuarial topic that is very challenging due to the fact that losses can be serially dependent with heterogeneous dependen...
Publikováno v:
SSRN Electronic Journal.
The logit-weighted reduced mixture of experts model (LRMoE) is a flexible yet analytically tractable non-linear regression model. While it has shown usefulness in modeling insurance loss frequencies and severities, model calibration becomes challengi
Publikováno v:
SSRN Electronic Journal.
This paper introduces a new R package, LRMoE, a statistical software tailor-made for actuarial applications which allows actuarial researchers and practitioners to model and analyze insurance loss frequencies and severities using the Logit-weighted R
Publikováno v:
Insurance: Mathematics and Economics. 79:26-42
Inspired by the claim reserving problem in non-life insurance, this paper proposes to study the insurer’s surplus process under a micro-level framework, with particular focus on modeling the Incurred But Not Reported (IBNR) and the Reported But Not