Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES
PaperId: :  10820
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 5 2019
DUI:    16.0415/IJARIIE-10820
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
RAKOTONIRINA Alain BarnabéED-STII
ANDRIAMANOHISOA Hery-ZoED-STII
ROBINSON MatioED-STII

Abstract

Computer Engineering
Phenomena multiple structures, point process, Bayesian Hierarchical models, Spatiotemporal, Integrated Nested Laplace Approximations
A good understanding of the spatiotemporal distribution of complex phenomena and multiple structures (such as the occurrence of fires in the environmental field, epidemic disease in the field of health ...) is an important element for the risk management of these phenomena and the development of strategies. However, the data are subject to complexities caused by heterogeneities among host classes and spatiotemporal processes. This article seeks to suggest or propose a Bayesian spatiotemporal model to modeling and mapping the relative risks of these phenomena in space and time. In this paper, we used spatiotemporal Bayesian hierarchical models to study the relative risk patterns of these phenomena. The R-INLA method with R packages was used for simulations and parameter estimation. The most suitable model is selected using multiple validation criteria (DIC, WAIC, CPO, ...). Among the spatiotemporal models used, the Knorr-Held model with a type III and IV space-time interaction fits well with the data, but type IV seems better than type III. We begin with the introduction to explain the theoretical and problematic context of our work. Then, the spatiotemporal statistical models in the literature review, followed by the proposed methodology which is the Bayesian hierarchical models, followed by an application on the occurrence of fires in the Ankarafantsika National Park (ANP) and ends by conclusion and perspective.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. "BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 5 2019 Page 128-143
MLA RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. "BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES." International Journal Of Advance Research And Innovative Ideas In Education 5.5(2019) : 128-143.
APA RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, & ROBINSON Matio. (2019). BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES. International Journal Of Advance Research And Innovative Ideas In Education, 5(5), 128-143.
Chicago RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. "BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 5 (2019) : 128-143.
Oxford RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. 'BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, 2019, p. 128-143. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/BAYESIAN_HIERARCHICAL_MODELS__MODELING_THE_SPATIOTEMPORAL_DISTRIBUTION_OF_THE_RISKS_OF_PHENOMENA_MULTIPLE_STRUCTURES_ijariie10820.pdf (Accessed : 22 March 2024).
Harvard RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. (2019) 'BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES', International Journal Of Advance Research And Innovative Ideas In Education, 5(5), pp. 128-143IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/BAYESIAN_HIERARCHICAL_MODELS__MODELING_THE_SPATIOTEMPORAL_DISTRIBUTION_OF_THE_RISKS_OF_PHENOMENA_MULTIPLE_STRUCTURES_ijariie10820.pdf (Accessed : 22 March 2024)
IEEE RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio, "BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 5, pp. 128-143, Sep-Oct 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/BAYESIAN_HIERARCHICAL_MODELS__MODELING_THE_SPATIOTEMPORAL_DISTRIBUTION_OF_THE_RISKS_OF_PHENOMENA_MULTIPLE_STRUCTURES_ijariie10820.pdf [Accessed : 22 March 2024].
Turabian RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. "BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 5 (22 March 2024).
Vancouver RAKOTONIRINA Alain Barnabé, ANDRIAMANOHISOA Hery-Zo, and ROBINSON Matio. BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 22 March 2024]; 5(5) : 128-143. Available from: http://ijariie.com/AdminUploadPdf/BAYESIAN_HIERARCHICAL_MODELS__MODELING_THE_SPATIOTEMPORAL_DISTRIBUTION_OF_THE_RISKS_OF_PHENOMENA_MULTIPLE_STRUCTURES_ijariie10820.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 3/22/2024 6:14:32 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
CHARACTERIZATION AND VOLUMETRIC ESTIMATION OF BEDROCK BY ELECTRICAL PROSPECTING AT THE QUARRY OF FARATSIHO ON THE PK88 OF RNS43, MADAGASCARGeoresources and EnvironmentRalaimaro M. Download
CHEMICAL CHARACTERIZATION OF GOLD FROM MIARINAVARATRA- FANDRIANA, SOUTH-CENTRAL MADAGASCAR BY SCANNING ELECTRON MICROSCOPE (SEM)Engineering and geosciences- University of AntananarivoRAMANANTSOA Tiandrainy Download
CONSTRAINTS TO THE ADOPTION OF LOCAL CONTENT POLICY IN MINING SECTOR IN MADAGASCARNatural Resources Management and DevelopmentRAZANATSIMBA Miharana Fabiola Download
IS GOLD VALUE ADDITION POSSIBLE IN MADAGASCAR?Mining areaRAMEFIVOLOLONA Hanitra Lalaina Download
Valorization of Gold ores by the sustainable management of gold panning activities in MadagascarSciences de la TerreN.L.RAMIANDRISOA Download
BAYESIAN HIERARCHICAL MODELS: MODELING THE SPATIOTEMPORAL DISTRIBUTION OF THE RISKS OF PHENOMENA MULTIPLE STRUCTURESComputer EngineeringRAKOTONIRINA Alain Barnabé Download
Investigation into the Adverse Environmental Degradation and increasing Fatality Rate resulting from Bad Coal Mining Practices in Communities of Kogi State, Nigeria.Mining EngineeringStephen Arome Akubo Download
SOTPNARM : SIZE OF TRANSACTION-BASED ON POSITIVE AND NEGATIVE ASSOCIATION RULECognitive Sciences and Application Machine LearningRAKOTOMANANA René Download
Geological Situation of Tratramarina area : Mahanoro districtEnginneeringRANDRIAMANANJARA LOUIS HERVE Download
Survey Paper on Fuzzy Logic Based Recommended SystemComputer ScienceRimpal S. Unadkat Download