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[PDF] Top 20 Identification and forecasting in mortality models

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Identification and forecasting in mortality models

Identification and forecasting in mortality models

... Mortality models are commonly used in a wide range of fields such as actuarial sciences, epidemiology, and ...such models do often have inbuilt identification issues stemming from ...While ... See full document

25

Evaluation of Accuracy in Identification of ARIMA Models Based on Model Selection Criteria for Inflation Forecasting with the TSClust Approach

Evaluation of Accuracy in Identification of ARIMA Models Based on Model Selection Criteria for Inflation Forecasting with the TSClust Approach

... ARIMA models that are different so it can be difficult to choose the best model to be ...different models, parameter values and ...in forecasting inflation of animal food and processed products ... See full document

5

On the identification of sales forecasting models in the presence of promotions

On the identification of sales forecasting models in the presence of promotions

... while forecasting accuracy is ...multivariate models with the innova- tions proposed in this paper should be considered in their software to help their potential clients that usually works with promotional ... See full document

21

Advances in mortality forecasting: introduction

Advances in mortality forecasting: introduction

... coherent mortality models and relational mortality models—he evaluated eight fairly simple sub-national mortality forecasting models that have been implemented by ... See full document

12

Forecasting with EC-VARMA Models

Forecasting with EC-VARMA Models

... (VAR) models, the error correction VARs are commonly referred to as vector error correction models ...the identification and estimation of the error correction VARMA ...such models VECMs as ... See full document

35

Semi-Structural Models for Inflation Forecasting

Semi-Structural Models for Inflation Forecasting

... with identification. Stud- ies have shown that NKPC models (and indeed DSGE models in general) suffer from severe identification problems, and that it is not possible to pin down parameter ... See full document

30

On the Modeling and Forecasting of Socioeconomic Mortality Differentials: An Application to Deprivation and Mortality in England

On the Modeling and Forecasting of Socioeconomic Mortality Differentials: An Application to Deprivation and Mortality in England

... linear models (Madrigal et al., 2011) and survival models (Richards, 2008) in the quantification of socio-economic mortality ...(level) mortality differentials, ignoring, in part due to the ... See full document

36

A Survey of Selected Grey Forecasting Models with Application to Medical Tourism Forecasting

A Survey of Selected Grey Forecasting Models with Application to Medical Tourism Forecasting

... Indeed, the shifting paradigm in the health services/consumption relationship should not be underestimated. For many decades, the flow of medical tourists was almost completely unidirectional whereby affluent third world ... See full document

14

In-sample forecasting: structured models and reserving

In-sample forecasting: structured models and reserving

... the identification to a hazard function one now gets a better understanding of the statistical estimation: In Chapter 4 & 5, it is for the first time discussed which as- sumptions on the data generating ... See full document

135

Forecasting mortality in subpopulations using Lee-Carter type models: A comparison

Forecasting mortality in subpopulations using Lee-Carter type models: A comparison

... stochastic mortality models is investigated. When targeting mortality rates, we consider five exten- sions of the well known Lee-Carter single population extrapolative ...when mortality ... See full document

21

Bayesian forecasting of mortality rates by using latent Gaussian models

Bayesian forecasting of mortality rates by using latent Gaussian models

... suggested models express different modelling beliefs about the extrapolation of the mortality ...both models behave in real data, we predict 5-, 10-, 15- and 21-years-ahead mortality rates for ... See full document

23

In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality

In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality

... statistical models based on individual claims include Antonio and Plat (2014) and Pigeon et ...density forecasting and as in non-life insurance a histogram type of approach is widely used and analysed, see ... See full document

29

HIV -Forecasting Models of CD4 Count

HIV -Forecasting Models of CD4 Count

... Baseline characteristics. A total of 497 PLHIV were considered for the study, out of which male comprises 295 (26%) and Female was 202(47%).The average age of patient was 35.30±6.19years, CD4 count was recorded at ... See full document

8

Mortality Modelling and Forecasting using Cross-Validation Techniques

Mortality Modelling and Forecasting using Cross-Validation Techniques

... of mortality in 1825, several methods have been proposed for the modelling of mortality ...two models will perform in practice, using Dutch data 1 ...and forecasting), the latter for ... See full document

25

A ranking of VAR and structural models in forecasting

A ranking of VAR and structural models in forecasting

... annual models for a sample of five ...SAMM Models) do not provide any additional information other than that contained in the random walk ...regression models; two forecasts to test jointly and then ... See full document

20

Multivariate Forecasting with BVARs and DSGE Models

Multivariate Forecasting with BVARs and DSGE Models

... Third, the results are less clear cut for the DSGE models. For instance I find that the small DSGE model is outperformed in terms of multivariate point forecast accuracy by both the small BVAR and small OLS-VAR at ... See full document

42

Theory of economic models for forecasting and policy

Theory of economic models for forecasting and policy

... 14 management and innovation are also required in firms, institutions and households* The super-ego function is likewise exercised in all of the individuals, households, firms and instit[r] ... See full document

377

Forecasting Models of Emergency Department Crowding

Forecasting Models of Emergency Department Crowding

... the models in this study may be limited by the operational similari- ties between the three sites ...the models performed similarly relative to each other at all three sites, adding weight to the argu- ment ... See full document

8

Forecasting telecommunications data with linear models

Forecasting telecommunications data with linear models

... patterns. Forecasting is an integral input into such network traffic management, infrastructure optimization and planning, and the scenario planning ...statistical models from which inferences are ...for ... See full document

28

Forecasting Performances of GARCH Families of Models

Forecasting Performances of GARCH Families of Models

... of models like GARCH; EGARCH and GJR-GARCH models which are modeled to study the depth and incidence of volatility and also for ...the forecasting error across all the twelve ...calculating ... See full document

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