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Mathematical Population Studies最新文献

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Small-area estimation in the presence of area-level correlated responses 存在区域水平相关响应时的小区域估计
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2018-01-02 DOI: 10.1080/08898480.2017.1408354
L. Bartoli, Maria Chiara Pagliarella, C. Russo, Renato Salvatore
{"title":"Small-area estimation in the presence of area-level correlated responses","authors":"L. Bartoli, Maria Chiara Pagliarella, C. Russo, Renato Salvatore","doi":"10.1080/08898480.2017.1408354","DOIUrl":"https://doi.org/10.1080/08898480.2017.1408354","url":null,"abstract":"ABSTRACT The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1408354","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49663359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Expectation maximization estimates of the offspring probabilities in a class of multitype branching processes with binary family trees 一类具有二叉家族树的多类型分支过程子代概率的期望最大化估计
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-10-02 DOI: 10.1080/08898480.2017.1348723
N. Daskalova
{"title":"Expectation maximization estimates of the offspring probabilities in a class of multitype branching processes with binary family trees","authors":"N. Daskalova","doi":"10.1080/08898480.2017.1348723","DOIUrl":"https://doi.org/10.1080/08898480.2017.1348723","url":null,"abstract":"ABSTRACT When proliferating cells are counted in several independent colonies at some time points, the maximum likelihood estimates of the parameters of the multitype branching process are obtained trough an expectation maximization algorithm. In the case of an offspring distribution governed by a Markov branching process with binary family trees, this method, relying then on a partial knowledge of the tree, yields the same estimates as those computed with the complete knowledge of the tree.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1348723","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41520962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial Board EOV 编辑委员会EOV
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-10-02 DOI: 10.1080/08898480.2017.1411084
{"title":"Editorial Board EOV","authors":"","doi":"10.1080/08898480.2017.1411084","DOIUrl":"https://doi.org/10.1080/08898480.2017.1411084","url":null,"abstract":"","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1411084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47650977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From susceptibility to frailty in social networks: The case of obesity 从社会网络的易感性到脆弱性:以肥胖为例
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-10-02 DOI: 10.1080/08898480.2017.1348718
J. Demongeot, M. Jelassi, C. Taramasco
{"title":"From susceptibility to frailty in social networks: The case of obesity","authors":"J. Demongeot, M. Jelassi, C. Taramasco","doi":"10.1080/08898480.2017.1348718","DOIUrl":"https://doi.org/10.1080/08898480.2017.1348718","url":null,"abstract":"ABSTRACT The obesity pandemic is represented by a discrete-time Hopfield Boolean network embedded in continuous-time population dynamics. The influence of the social environment passes through a system of differential equations, whereby obesity spreads by imitation of the most influential neighbors, those who have the highest centrality indices in the network. This property is called “homophily.” Susceptibility and frailty are redefined using network properties. Projections of the spread of obesity are validated on data collected in a French high school.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1348718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43966848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Sensible Moyen Âge, une histoire des émotions dans l’Occident médiéval [Sensitive Middle Ages, a History of Emotions in the Medieval West], by Damien Bocquet and Piroska Nagy 《敏感中世纪：中世纪西方情感史》，达米恩·博凯和皮罗斯卡·纳吉
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-07-03 DOI: 10.1080/08898480.2017.1330017
Noël Bonneuil
{"title":"Sensible Moyen Âge, une histoire des émotions dans l’Occident médiéval [Sensitive Middle Ages, a History of Emotions in the Medieval West], by Damien Bocquet and Piroska Nagy","authors":"Noël Bonneuil","doi":"10.1080/08898480.2017.1330017","DOIUrl":"https://doi.org/10.1080/08898480.2017.1330017","url":null,"abstract":"","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1330017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44803057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling mortality at old age with time-varying parameters 用时变参数模拟老年死亡率
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-07-03 DOI: 10.1080/08898480.2017.1330013
Pavel Zimmermann
{"title":"Modeling mortality at old age with time-varying parameters","authors":"Pavel Zimmermann","doi":"10.1080/08898480.2017.1330013","DOIUrl":"https://doi.org/10.1080/08898480.2017.1330013","url":null,"abstract":"ABSTRACT Several models of old age mortality with time-varying parameters are expressed in a single formula. In these models, the existence of an age threshold above which mortality increases over time and below which mortality decreases over time is problematic. The conditions of appearance of this threshold are expressed and shown on logistic and exponential models with empirical data. The conditions of appearance of the threshold reflect actual situations in developed countries. Richards’ curve avoids the appearance of the threshold with empirical data.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1330013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49374312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Stationary distributions in Kolmogorov-Petrovski- Piskunov-type models with an infinite number of particles 具有无限粒子数的Kolmogorov-Petrovski- piskunov型模型中的平稳分布
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-07-03 DOI: 10.1080/08898480.2017.1330010
S. Molchanov, Joseph Whitmeyer
{"title":"Stationary distributions in Kolmogorov-Petrovski- Piskunov-type models with an infinite number of particles","authors":"S. Molchanov, Joseph Whitmeyer","doi":"10.1080/08898480.2017.1330010","DOIUrl":"https://doi.org/10.1080/08898480.2017.1330010","url":null,"abstract":"ABSTRACT A model of population dynamics in continuous time on the lattice contains the Kolmogorov-Petrovski-Piskunov equation as a special case. A limit distribution exists. The first three moments and the correlation function are expressed.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1330010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43046078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Reconstruction of populations by stochastic optimization: Sensitivity analysis 通过随机优化重建种群：灵敏度分析
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-07-03 DOI: 10.1080/08898480.2017.1330014
N. Bonneuil
{"title":"Reconstruction of populations by stochastic optimization: Sensitivity analysis","authors":"N. Bonneuil","doi":"10.1080/08898480.2017.1330014","DOIUrl":"https://doi.org/10.1080/08898480.2017.1330014","url":null,"abstract":"ABSTRACT The reconstruction of populations by stochastic optimization solves the nontrivial problem of finding demographic flows from population registers or vital statistics and censuses, if available. These flows allow the reconstruction of stocks (age pyramids and vital statistics). After a review of reconstruction methods, the sensitivity analysis shows the robustness of the method by stochastic optimization to flawed or missing values, to the length of the reconstruction period, and to variations in the actual demographic flows.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1330014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43945332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes 使用专家共识（德尔菲方法）评估网络调查中的加权技术，而不是基于概率方案
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-07-03 DOI: 10.1080/08898480.2017.1330012
V. Toepoel, H. Emerson
{"title":"Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes","authors":"V. Toepoel, H. Emerson","doi":"10.1080/08898480.2017.1330012","DOIUrl":"https://doi.org/10.1080/08898480.2017.1330012","url":null,"abstract":"ABSTRACT Weighting techniques in web surveys based on no probability schemes are devised to correct biases due to self-selection, undercoverage, and nonresponse. In an interactive panel, 38 survey experts addressed weighting techniques and auxiliary variables in web surveys. Most of them corrected all biases jointly and applied calibration and propensity score adjustments. Although they claimed that sociodemographic and web-related variables are the most useful auxiliary variables to employ in adjustments, they considered only sociodemographic variables to correct biases because of their availability.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1330012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42924807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Modeling distances between humans using Taylor’s law and geometric probability 使用泰勒定律和几何概率建模人与人之间的距离
IF 1.8 3区 社会学
Mathematical Population Studies Pub Date : 2017-05-23 DOI: 10.1080/08898480.2017.1289049
J. Cohen, D. Courgeau
{"title":"Modeling distances between humans using Taylor’s law and geometric probability","authors":"J. Cohen, D. Courgeau","doi":"10.1080/08898480.2017.1289049","DOIUrl":"https://doi.org/10.1080/08898480.2017.1289049","url":null,"abstract":"ABSTRACT Taylor’s law states that the variance of the distribution of distance between two randomly chosen individuals is a power function of the mean distance. It applies to the distances between two randomly chosen points in various geometric shapes, subject to a few conditions. In Réunion Island and metropolitan France, at some spatial scales, the empirical frequency distributions of inter-individual distances are predicted accurately by the theoretical frequency distributions of inter-point distances in models of geometric probability under a uniform distribution of points. When these models fail to predict the empirical frequency distributions of inter-individual distances, they provide baselines against which to highlight the spatial distribution of population concentrations.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1289049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49281546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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