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Bayesian Nonparametric Regression for Diabetes Deaths
e.g., the number of claims and covariates. The standard parametric formulation assumes that the response ... covariates is constant across the population under study. Additionally, the shape of the posterior distribution ...- Authors: Brian Hartman, David B Dahl
- Date: Jan 2010
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Bayesian methods
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Bayesian Graduation
so-called Bayesian statistics. The method discussed is applicable to a broad range of graduation situations, ... but does assume the more specific property of the graduator's prior opinion with respect to mortality ...- Authors: Donald A Jones, George S Kimeldorf
- Date: Jun 1967
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Bayesian methods
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Credibility: The Bayesian Model versus Bühlmann's Model
Credibility: The Bayesian Model versus Bühlmann's Model This paper examines the compatibility of the two ... models, in the hope that this exploration will prompt a greater cross-fertilization of ideas between ...- Authors: Thomas Herzog
- Date: Oct 1989
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Bayesian methods
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Claims Reserving when there are Negative Values in the Development Triangle
Negative Values in the Development Triangle In this paper the author presents an application of Bayesian forecasting ... methods to the estimation of reserves for outstanding claims. He assumes that the time number of periods ...- Authors: Enrique de Alba
- Date: Jan 2003
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Forecasting
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Bayesian Estimation of Tubular Survival Models from Complete Samples
Estimation of Tubular Survival Models from Complete Samples The problem of estimation of a tabular survival ... set. The survival function St is usually estimated by the moment estimator. We approximate the joint ...- Authors: Rohan J Dalpatadu, Malwane M Ananda, Ashok K Singh
- Date: Jan 1993
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Life Insurance; Modeling & Statistical Methods>Bayesian methods
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Bayesian Statistics
Bayesian Statistics The objective of this paper is to present a technical exposition of the ... Statistics The objective of this paper is to present a technical exposition of the rudiments of Bayesian ...- Authors: Donald A Jones
- Date: Apr 1965
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Bayesian methods
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Bayesian Graduation
modifications of the Kimeldorf-Jones Bayesian graduation method. These enhancements entail the use of time series ... decomposition. By augmenting the existing method one can empirically smooth the Kimeldorf-Jones technique ...- Authors: Steven Craighead
- Date: Jan 1991
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Bayesian methods
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Hierarchical Bayesian Whittaker Graduation
Whittaker Graduation In this paper the ad-hoc Bayesian derivation of the Whittaker method is replaced with ... possible to complete the graduation without making an arbitrary selection of the smoothing parameter.- Authors: Stuart Klugman
- Date: Jan 1992
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Bayesian methods