Using Model Averaging to Determine Suitable Risk Measure Estimates
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Publication:5027908
DOI10.1080/10920277.2021.1911668zbMath1483.91205OpenAlexW3173268647MaRDI QIDQ5027908
Tatjana Miljkovic, Bettina Grün
Publication date: 7 February 2022
Published in: North American Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10920277.2021.1911668
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- On modeling left-truncated loss data using mixtures of distributions
- Estimating the dimension of a model
- Heuristics of instability and stabilization in model selection
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Compound unimodal distributions for insurance losses
- On generalized log-Moyal distribution: a new heavy tailed size distribution
- Bayesian model selection and model averaging
- Modeling loss data using composite models
- Skewed bivariate models and nonparametric estimation for the CTE risk measure
- Modeling loss data using mixtures of distributions
- Composite Lognormal–Pareto model with random threshold
- The Weibull–Pareto Composite Family with Applications to the Analysis of Unimodal Failure Rate Data
- Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
- Model Selection: An Integral Part of Inference
- FITTING MIXTURES OF ERLANGS TO CENSORED AND TRUNCATED DATA USING THE EM ALGORITHM
- Modeling claims data with composite Stoppa models
- New composite models for the Danish fire insurance data
- Modeling with Weibull-Pareto Models
- Extending composite loss models using a general framework of advanced computational tools
- Modeling Severity and Measuring Tail Risk of Norwegian Fire Claims
- Modeling actuarial data with a composite lognormal-Pareto model
- On composite lognormal-Pareto models
- On Information and Sufficiency
- A new look at the statistical model identification
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