Pages that link to "Item:Q904608"
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The following pages link to Identification and forecasting in mortality models (Q904608):
Displaying 22 items.
- Editorial: Longevity risk and capital markets: the 2013--14 update (Q492624) (← links)
- A parameterized approach to modeling and forecasting mortality (Q1003825) (← links)
- Longevity risk and capital markets: the 2015--16 update (Q1697233) (← links)
- Identifiability, cointegration and the gravity model (Q1697266) (← links)
- Small population bias and sampling effects in stochastic mortality modelling (Q1707555) (← links)
- Generalised additive dependency inflated models including aggregated covariates (Q1711602) (← links)
- A review and comparison of age-period-cohort models for cancer incidence (Q1790374) (← links)
- Longevity risk and capital markets: the 2019--20 update (Q2038265) (← links)
- A more meaningful parameterization of the Lee-Carter model (Q2212133) (← links)
- Pitfalls and merits of cointegration-based mortality models (Q2292183) (← links)
- In-sample forecasting applied to reserving and mesothelioma mortality (Q2347099) (← links)
- Identifiability issues of age-period and age-period-cohort models of the Lee-Carter type (Q2364014) (← links)
- Calendar effect and in-sample forecasting (Q2656985) (← links)
- Over-Dispersed Age-Period-Cohort Models (Q3121564) (← links)
- Parameter risk in time-series mortality forecasts (Q4577206) (← links)
- Forecasting Death Rates Using Exogenous Determinants (Q4687533) (← links)
- Longevity Risk and Capital Markets: The 2017–2018 Update (Q4987087) (← links)
- TREE-BASED MACHINE LEARNING METHODS FOR MODELING AND FORECASTING MORTALITY (Q5045336) (← links)
- Outlier analysis and mortality forecasting: The United Kingdom and Scandinavian countries (Q5467656) (← links)
- Hierarchical Bayesian modeling of multi-country mortality rates (Q5865319) (← links)
- Mortality forecasting using the four-way CANDECOMP/PARAFAC decomposition (Q6096085) (← links)
- Longevity Risk Modeling with the Consumer Price Index (Q6640254) (← links)