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Eugenio Melilli

Biographic Data

ID6045233
NAMEEugenio Melilli
GIVEN NAMESEugenio
FAMILY NAMEMelilli
SIGNATUREMELILLI E
AFFILIATIONSBocconi University
ORCID0000-0003-2542-5286
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS3
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2014
H-INDEX1
  • Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm

    Open Access•Francesco C Billari, Rebecca Graziani et al.•ARTICLE•Demography•2014•Cited by: 3•References: 42

    This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…

  • Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm

    Open Access•Francesco C Billari, Rebecca Graziani et al.•ARTICLE•Demography•2014•Cited by: 3•References: 42

    This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…

  • Stochastic Population Forecasting Based on Combinations of Expert Evaluations Within the Bayesian Paradigm

    Open Access•Francesco C Billari, Rebecca Graziani et al.•ARTICLE•Demography•2014•Cited by: 3•References: 42

    This article suggests a procedure to derive stochastic population forecasts adopting an expert-based approach. As in previous work by Billari et al. (2012), experts are required to provide evaluations, in the form of conditional and unconditional scenarios, on summary indicators of the demographic components determining the population evolution: that is, fertility, mortality, and migration. Here, two main purposes are pursued. First, the demograp…

Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Computer Science (1 work) · demographic modeling and climate adaptation (1 work) · Demography (1 work) · Demography (1 work) · Econometrics (1 work) · Global Health Care Issues (1 work) · Insurance, Mortality, Demography, Risk Management (1 work)

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