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Selection: with tag bayesian [4 articles] 

 

Geostatistical tools to map the interaction between development aid and indices of need

  
No. 49. (2018)

Abstract

In order to meet and assess progress towards global sustainable development goals (SDGs), an improved understanding of geographic variation in population wellbeing indicators such as health status, wealth and access to resources is crucial, as the equitable and efficient allocation of international aid relies on knowing where funds are needed most. Unfortunately, in many low-income countries, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients are rarely available. Furthermore, lack of information on the past ...

 

Mapping the interaction between development aid and stunting in Nigeria

  
In 28th IUSSP International Population Conference (2017)

Abstract

For meeting sustainable development goals (SDGs) an improved understanding of geographic differences in health status, wealth and access to resources is crucial. The equitable and effcient allocation of international aid relies on knowing where funds are needed most. For instance, aid for poverty alleviation or financial access improvement requires knowledge of where the poor are. Unfortunately, detailed, reliable and timely information on the spatial distribution and characteristics of intended aid recipients in many low income countries are rarely available. This lack ...

References

  1. AidData, 2016. Nigeria AIMS geocoded research release, version 1.3.1. In: AidData Datasets. AidData, Williamsburg, VA and Washington, DC. http://aiddata.org/data/nigeria-aims-geocoded-research-release-level-1-v1-3-1 , http://aiddata.org/research-datasets , INRMM-MiD:14546755
  2. Alegana, V. A., Atkinson, P. M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., Erbach-Schoenberg, E., Tatem, A. J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. https://doi.org/10.1098/rsif.2015.0073 , INRMM-MiD:14546782
 

Hierarchical Bayesian modeling

  
In Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second Edition (25 November 2002), pp. 336-358, https://doi.org/10.1002/9780470317105.ch14
edited by S. James Press

Abstract

[Excerpt: Introduction] Hierarchical modeling is a widely used approach to building complex models by specifying a series of more simple conditional distributions. It naturally lends itself to Bayesian inference, especially using modern tools for Bayesian computation. In this chapter we first present essential concepts of hierarchical modeling, and then suggest its generality by presenting a series of widely used specific models. [...] [\n] [...] [Summary] In this chapter we have introduced hierarchical modeling as a very general approach to specifying complex models through a ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 4

  
(February 2014)
Keywords: atmospheric-circulation   atmospheric-rivers   atriplex-halimus   atriplex-nummularia   atta-cephalotes   auc   australia   austria   austrocedrus-chilensis   authorship   autoecology   automatic-knowledge-generation   automatic-knowledge-mapping   automation   automation-irony   autonomic-computing   autoregressive-model   avicennia-germinans   avifauna   awk   azadirachta-indica   azerbaijan   azolla-spp   bacillus-thuringiensis   back-propagation-networks   bacteria   bacterial-canker   bacterial-diseases   bacterial-wood-degradation   bactris-gasipaes   bactrocera-invadens   bactrocera-oleae   baikiaea-plurijuga   balanites-aegyptiaca   balkan-peninsula   balkan-region   balkans   baltic-sea-ice   bangladesh   banksia-grandis   banksia-serrata   bark   bark-beetle   basal-area   batocera-lineolata   bavaria   bayesian   bedrock   beech-forest   beekeeping   behaviour   behavioural-contracts   belgium   beliefs   below-ground-biomass   bemisia-tabaci   berberis-vulgaris   bernoulli   bertholletia-excelsa   beta-diversisty   betula-alba   betula-albo-sinensis   betula-alleghaniensis   betula-alnoides   betula-ashburneri   betula-celtiberica   betula-chichibuensis   betula-chinensis   betula-cordifolia   betula-costata   betula-cylindrostachya   betula-dahurica   betula-ermanii   betula-falcata   betula-fruticosa   betula-glandulosa   betula-globispica   betula-gmelinii   betula-grossa   betula-gynoterminalis   betula-honanensis   betula-humilis   betula-karagandensis   betula-klokovii   betula-kotulae   betula-lenta   betula-litwinowii   betula-maximowicziana   betula-medwedewii   betula-megrelica   betula-michauxii   betula-microphylla   betula-murrayana   betula-nana   betula-nigra   betula-occidentalis   betula-papyrifera   betula-pendula   betula-platyphylla   inrmm-list-of-tags  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/bayesian

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.