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Cohort Effects in Mortality Modelling: A Bayesian State-Space Approach
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The 53 checked references that resolve
resolves10.1080/03461238.2010.511034
Understanding, modelling and managing longevity risk: key issues and main challenges
resolves10.1016/j.insmatheco.2005.05.003
Affine processes for dynamic mortality and actuarial valuations
resolves10.1016/s0167-6687(02)00185-3
A Poisson log-bilinear regression approach to the construction of projected lifetables
resolves10.1111/j.1539-6975.2006.00195.x
<scp>A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration</scp>
resolves10.1080/10920277.2009.10597538
A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States
resolves10.1093/jjfinec/nbw002
On the Observed-Data Deviance Information Criterion for Volatility Modeling
resolves10.1080/03461238.2014.928230
On fitting generalized linear and non-linear models of mortality
resolves10.1016/j.insmatheco.2006.02.007
Valuation and hedging of life insurance liabilities with systematic mortality risk
resolves10.1177/1471082x0600700103
Smoothing the Lee–Carter and Poisson log-bilinear models for mortality forecasting
resolves10.1093/biomet/asu075
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
resolves10.1016/j.insmatheco.2010.06.006
Evaluating the goodness of fit of stochastic mortality models
resolves10.1080/03461238.2015.1133450
Multi-population mortality models: fitting, forecasting and comparisons
resolves10.1016/j.insmatheco.2014.06.010
Systematic mortality risk: An analysis of guaranteed lifetime withdrawal benefits in variable annuities
resolves10.2139/ssrn.2699624
A State-Space Estimation of the Lee-Carter Mortality Model and Implications for Annuity Pricing
resolves10.1017/s1748499517000069
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting
resolves10.1016/j.insmatheco.2010.09.003
A comparative study of parametric mortality projection models
resolves10.1016/j.insmatheco.2015.05.004
Robustness and convergence in the Lee–Carter model with cohort effects
resolves10.2202/2153-3792.1036
A Bayesian Comparison of Models for Changing Mortalities toward Evaluating Longevity Risk in Japan
resolves10.1016/j.insmatheco.2009.10.005
A Bayesian approach to pricing longevity risk based on risk-neutral predictive distributions
resolves10.1016/j.insmatheco.2005.06.008
Evaluating and extending the Lee–Carter model for mortality forecasting: Bootstrap confidence interval
resolves10.1016/j.insmatheco.2016.05.016
Inference pitfalls in Lee–Carter model for forecasting mortality
resolves10.1016/j.insmatheco.2016.07.001
It’s all in the hidden states: A longevity hedging strategy with an explicit measure of population basis risk
resolves10.1017/asb.2016.33
THE LOCALLY LINEAR CAIRNS–BLAKE–DOWD MODEL: A NOTE ON DELTA–NUGA HEDGING OF LONGEVITY RISK
resolves10.1111/j.1728-4457.2010.00334.x
Reexamining the Dominance of Birth Cohort Effects on Mortality
resolves10.3390/risks5040053
Bayesian Modelling, Monte Carlo Sampling and Capital Allocation of Insurance Risks
resolves10.1016/j.insmatheco.2005.12.001
A cohort-based extension to the Lee–Carter model for mortality reduction factors
resolves10.4054/demres.2011.25.5
Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods
resolves10.2139/ssrn.2635938
Forecasting Leading Death Causes in Australia Using Extended CreditRisk&#43;
resolves10.1080/03461238.2014.987807
The impact of multiple structural changes on mortality predictions
resolves10.1016/j.insmatheco.2009.09.013
Modeling longevity risks using a principal component approach: A comparison with existing stochastic mortality models
The 5 references without a DOI — listed, not checked
no DOI — not checkedref12
no DOI — not checkedAn introduction to stochastic particle integration methods: With applications to risk and insurance
no DOI — not checkedref28
no DOI — not checkedref30
no DOI — not checkedMortality risk via affine stochastic intensities: Calibration and empirical relevance
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