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Journal of Applied Statistics Volume 38, 2011 - Issue 1
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Original Articles

Non-stationary partition modeling of geostatistical data for malaria risk mapping

Laura Gosoniu Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002, Basel, SwitzerlandCorrespondence[email protected] [email protected]
&
Penelope Vounatsou Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002, Basel, Switzerland
Pages 3-13 | Received 16 Oct 2008, Accepted 30 Apr 2009, Published online: 12 Aug 2010

Citations (5)

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Read on this site (1)

Zhao Tang Luo, Huiyan Sang & Bani Mallick. (2023) A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees. Journal of the American Statistical Association 0:0, pages 1-23.
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Articles from other publishers (4)

Sophie A. Lee, Christopher I. Jarvis, W. John Edmunds, Theodoros Economou & Rachel Lowe. (2021) Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions. Journal of The Royal Society Interface 18:178, pages 20210096.
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Francky Fouedjio. (2016) Second-order non-stationary modeling approaches for univariate geostatistical data. Stochastic Environmental Research and Risk Assessment 31:8, pages 1887-1906.
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Ephraim Agyingi, Matthias Ngwa & Tamas Wiandt. (2016) The Dynamics of Multiple Species and Strains of Malaria. Letters in Biomathematics 3:1.
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Giovanna Raso, Nadine Schur, Jürg Utzinger, Benjamin G Koudou, Emile S Tchicaya, Fabian Rohner, Eliézer K N’Goran, Kigbafori D Silué, Barbara Matthys, Serge Assi, Marcel Tanner & Penelope Vounatsou. (2012) Mapping malaria risk among children in Côte d’Ivoire using Bayesian geo-statistical models. Malaria Journal 11:1.
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