A long-term care multi-state Markov model revisited: a Markov chain Monte Carlo approach
From MaRDI portal
Publication:2157223
DOI10.1007/s13385-021-00285-yzbMath1492.91290OpenAlexW3166677169MaRDI QIDQ2157223
Jonas Hirz, Daniel Sirianni, Anselm Fleischmann
Publication date: 27 July 2022
Published in: European Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13385-021-00285-y
Applications of statistics to actuarial sciences and financial mathematics (62P05) Numerical methods (including Monte Carlo methods) (91G60) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Actuarial mathematics (91G05)
Cites Work
- Unnamed Item
- Unnamed Item
- Calibrating intensities for long-term care multiple-state Markov insurance model
- Stochastic models in life insurance.
- Estimating the dimension of a model
- Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Long-term care models and dependence probability tables by acuity level: new empirical evidence from Switzerland
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- General Irreducible Markov Chains and Non-Negative Operators
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- CONTINUOUS-TIME SEMI-MARKOV INFERENCE OF BIOMETRIC LAWS ASSOCIATED WITH A LONG-TERM CARE INSURANCE PORTFOLIO
- Forecasting disability: application of a frailty model
- Equation of State Calculations by Fast Computing Machines
- Compression of Morbidity and Mortality: New Perspectives
- Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms
- Monte Carlo sampling methods using Markov chains and their applications
- A new look at the statistical model identification