[HTML][HTML] How good is good? Bayesian machine-learning estimation of probabilistic benchmarks in noisy datasets and an application to nanofinance+
RG Martinez - Systems and Soft Computing, 2022 - Elsevier
Benchmarks are reference standards that are calculated using key performance indicators
(KPIs). Calculating benchmarks in noisy datasets is challenging because noise in KPIs …
(KPIs). Calculating benchmarks in noisy datasets is challenging because noise in KPIs …
How good is good? Probabilistic benchmarks and nanofinance+
RG Martinez - arXiv preprint arXiv:2103.01669, 2021 - arxiv.org
Benchmarks are standards that allow to identify opportunities for improvement among
comparable units. This study suggests a 2-step methodology for calculating probabilistic …
comparable units. This study suggests a 2-step methodology for calculating probabilistic …
[PDF][PDF] Systems and Soft Computing
RG Martinez - researchgate.net
Benchmarks are reference standards that are calculated using key performance indicators
(KPIs). Calculating benchmarks in noisy datasets is challenging because noise in KPIs …
(KPIs). Calculating benchmarks in noisy datasets is challenging because noise in KPIs …