Methodological Evaluation of Smallholder Farms Systems in Tanzania Using Bayesian Hierarchical Models for Risk Reduction Assessment
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2014
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| _version_ | 1866901776491347968 |
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| author | Mwakalunga, Kamya Tuyembe, Chituwo |
| author_facet | Mwakalunga, Kamya Tuyembe, Chituwo |
| contents | <p>This study addresses a current research gap in Computer Science concerning Methodological evaluation of smallholder farms systems in Tanzania: Bayesian hierarchical model for measuring risk reduction in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of smallholder farms systems in Tanzania: Bayesian hierarchical model for measuring risk reduction, Tanzania, Africa, Computer Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19102012 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Smallholder Farms Systems in Tanzania Using Bayesian Hierarchical Models for Risk Reduction Assessment Mwakalunga, Kamya Tuyembe, Chituwo Sub-Saharan Bayesian Hierarchical Methodology Smallholder Risk Evaluation <p>This study addresses a current research gap in Computer Science concerning Methodological evaluation of smallholder farms systems in Tanzania: Bayesian hierarchical model for measuring risk reduction in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of smallholder farms systems in Tanzania: Bayesian hierarchical model for measuring risk reduction, Tanzania, Africa, Computer Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| title | Methodological Evaluation of Smallholder Farms Systems in Tanzania Using Bayesian Hierarchical Models for Risk Reduction Assessment |
| topic | Sub-Saharan Bayesian Hierarchical Methodology Smallholder Risk Evaluation |
| url | https://doi.org/10.5281/zenodo.19102012 |