Skip Nav Destination
Close Modal
1-20 of 193 Search Results for
Bayesian models
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Journal Article
Demography (2013) 50 (6): 2053–2073.
Published: 01 August 2013
.... We used linked census-mortality information for 25- to 74-year-olds in the 2001 census followed for up to three years. Hierarchical Bayesian modeling provided a means of handling sparse data. Posterior mortality rates were directly age-standardized. We found little evidence of mortality differences...
FIGURES
Journal Article
Demography (2017) 54 (6): 2025–2041.
Published: 10 October 2017
... in death counts is relatively high, and thus the underlying mortality levels are unclear. We present a Bayesian hierarchical model to estimate mortality at the subnational level. The model builds on characteristic age patterns in mortality curves, which are constructed using principal components from a set...
FIGURES
| View All (10)
Journal Article
Demography (2024) 61 (2): 439–462.
Published: 01 April 2024
... to obtain. I present a Bayesian hierarchical model framework for prediction of mortality rates at a small or subnational level. By combining ideas from demography and epidemiology, the classical mortality modeling framework is extended to include an additional spatial component capturing regional...
FIGURES
Includes: Supplementary data
Journal Article
Demography (2022) 59 (5): 1713–1737.
Published: 01 October 2022
... mortality and unmet need for contraception. However, in many low-income countries, data on population counts and components of population change are limited, and so subnational levels and trends are unclear. We present a Bayesian constrained cohort component model for the estimation and projection...
FIGURES
| View All (6)
Includes: Supplementary data
Journal Article
Demography (2023) 60 (1): 303–325.
Published: 01 February 2023
... districts, the extent of mortality convergence across districts and its determinants are largely unknown. We used a novel relational Bayesian model to estimate district e 0 in Germany during 1997–2016, examined mortality convergence using a novel convergence groups approach, and explored the role...
FIGURES
| View All (5)
Includes: Supplementary data
Journal Article
Demography (2018) 55 (4): 1363–1388.
Published: 05 July 2018
... like Brazil. Statisticians have also addressed estimation in cases of incomplete or underreported data. Raftery ( 1988 ) proposed a Bayesian approach to the general problem of inferring the number of binomial trials from the number of successes. Moreno and Girón ( 1998 ) developed a model...
FIGURES
| View All (10)
Journal Article
Demography (2015) 52 (3): 1035–1059.
Published: 12 May 2015
...Arkadiusz Wiśniowski; Peter W. F. Smith; Jakub Bijak; James Raymer; Jonathan J. Forster Abstract In this article, we develop a fully integrated and dynamic Bayesian approach to forecast populations by age and sex. The approach embeds the Lee-Carter type models for forecasting the age patterns...
FIGURES
| View All (8)
Includes: Supplementary data
Journal Article
Demography (2009) 46 (1): 65–83.
Published: 01 February 2009
... Woman Bayesian Estimation Mean Square Deviation Constraint Model Unconstrained Model References Assuncao M.T. , Schmertmann C.P. , Potter J.E. , & Cavenaghi S.M. ( 2005 ). “Empirical Bayes Estimation of Demographic Schedules for Small Areas.” . Demography , 42...
Image
in Migration and Pacific Mortality: Estimating Migration Effects on Pacific Mortality Rates Using Bayesian Models
> Demography
Published: 01 August 2013
Fig. 1 Observed gender-averaged Pacific mean mortality rates ( × 100,000) and posterior estimates of the shrinkage parameter and structural mean rates from the hierarchical Bayesian model. The lines were computed using spline interpolation between computed gender-averaged posterior means
More
Journal Article
Demography (2021) 58 (6): 2193–2218.
Published: 01 December 2021
... of the LFS and Facebook data, paying particular attention to the biases of these sources. The results indicate visible yet uncertain differences between model estimates using the Bayesian framework and individual sources. Sensitivity analysis techniques are used to evaluate the quality of the model...
FIGURES
| View All (6)
Includes: Supplementary data
Journal Article
Demography (2005) 42 (3): 537–558.
Published: 01 August 2005
... , R.M. , Reis , I.A. , & Oliveira , C.L. ( 2001 ). Diffusion and Prediction of Leishmaniasis in a Large Metropolitan Area in Brazil With a Bayesian Space-Time Model . Statistics in Medicine , 20 , 2319 – 35 . 10.1002/sim.844 Assunção, R.M., C.P. Schmertmann, J.E. Potter...
Journal Article
Demography (2022) 59 (2): 587–605.
Published: 01 April 2022
... of this model to the existing best alternative proposed by Andreev and Kingkade (2015) . We estimated model parameters for both the ratio model and Eq. (2) , that is, a piecewise linear model, in a Bayesian framework using a Hamiltonian Monte Carlo algorithm, implemented using the Stan programming language...
FIGURES
| View All (6)
Includes: Supplementary data
Journal Article
Demography (2000) 37 (1): 109–126.
Published: 01 February 2000
...: A Study of Four Rural Counties. Population Studies 51:221 28. Raftery, A.E. 1994. Change Point and Change Curve Modeling in Stochastic Processes and Spatial Statistics. Journal of Applied Statistical Science 1:403 23. 1995. Bayesian Model Selection in Social Research. Pp. 111 63 in Sociological...
Journal Article
Demography (2023) 60 (3): 915–937.
Published: 01 June 2023
... horizons. Copyright © 2023 The Authors 2023 This is an open access article distributed under the terms of a Creative Commons license (CC BY-NC-ND 4.0). Probabilistic population projections Subnational projections Uncertainty Cohort-component method Bayesian model Population...
FIGURES
| View All (7)
Includes: Supplementary data
Journal Article
Demography (2020) 57 (3): 1171–1192.
Published: 09 June 2020
... problems. We use a Bayesian hierarchical time-series model that allows us to integrate the parish-level data set and prior population information in a coherent manner. The procedure provides us with model-based posterior intervals for the final population estimates. We demonstrate its applicability...
FIGURES
| View All (7)
Includes: Supplementary data
Journal Article
Demography (2015) 52 (5): 1627–1650.
Published: 10 September 2015
... appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Autoregressive model Bayesian hierarchical model Markov chain Monte Carlo World population prospects In this article we propose a method...
FIGURES
| View All (8)
Includes: Supplementary data
Journal Article
Demography (2011) 48 (3): 815–839.
Published: 12 July 2011
...Leontine Alkema; Adrian E. Raftery; Patrick Gerland; Samuel J. Clark; François Pelletier; Thomas Buettner; Gerhard K. Heilig Abstract We describe a Bayesian projection model to produce country-specific projections of the total fertility rate (TFR) for all countries. The model decomposes...
FIGURES
| View All (6)
Includes: Supplementary data
Image
in A Bayesian Cohort Component Projection Model to Estimate Women of Reproductive Age at the Subnational Level in Data-Sparse Settings
> Demography
Published: 01 October 2022
Image
in Integrating Space With Place in Health Research: A Multilevel Spatial Investigation Using Child Mortality in 1880 Newark, New Jersey
> Demography
Published: 25 April 2014
Image
in Integrating Space With Place in Health Research: A Multilevel Spatial Investigation Using Child Mortality in 1880 Newark, New Jersey
> Demography
Published: 25 April 2014
1
