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Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves Cover

Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves

Journal of Official Statistics
Volume 37 (2021): Issue 3 (September 2021)
By: Zhen Zhang,  Arnab Bhattacharjee,  João Marques and  Tapabrata Maiti  
Open Access
|Sep 2021
Authors

Authors

Zhen Zhang

zhangquake@gmail.com

Eli Lilly and Company

Arnab Bhattacharjee

a.bhattacharjee@hw.ac.uk

Heriot-Watt University and National Institute of Economic and Social Research, Spatial Economics and Econometrics Centre. (SEEC)

João Marques

jjmarques@ua.pt

University of Aveiro, Department of Social, Political and Territorial Sciences, Averiro, Portugal

Tapabrata Maiti

maiti@stt.msu.edu

Michigan State University, Department of Statistics and Probability
DOI: https://doi.org/10.2478/jos-2021-0028 | Journal eISSN: 2001-7367
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Language: English
Page range: 611 - 653
Submitted on: Sep 1, 2019
Accepted on: Aug 1, 2020
Published on: Sep 13, 2021
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Spatio-temporal modeling,
conditional autoregressive model,
spatial clustering,
bayesian wavelet smoothing,
bayesian hierarchical model,
age-specific fertility rates
Related subjects:
Mathematics,
Probability and statistics

© 2021 Zhen Zhang, Arnab Bhattacharjee, João Marques, Tapabrata Maiti, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 37 (2021): Issue 3 (September 2021)
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