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20082025
most citedAutomatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach

168 citations

Showing stat.MEShow all

5 papers · 1 filter

stat.ME2024

Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis

Irving Gómez-Méndez, Chainarong Amornbunchornvej

Poverty is a serious issue that harms humanity progression. The simplest solution is to use one-shirt-size policy to alleviate it. Nevertheless, each region has its unique issues,…

stat.ME2023★ 6 cited

Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models

Irving Gómez-Méndez, Chainarong Amornbunchornvej

One-shirt-size policy cannot handle poverty issues well since each area has its unique challenges, while having a custom-made policy for each area separately is unrealistic due to…

stat.ME2023★ 1 cited

Register-based Census in Thailand: a Case Study in Chachoengsao Province

Nuttirudee Charoenruk, Narongrid Asavaroungpipop, Pannee Pattanapradit +2

The use of registers has been increasingly popular in the field of population census because of its advantages over the traditional census. While the traditional census requires a…

stat.ME2022★ 4 cited

Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok +1

Poverty is one of the fundamental issues that mankind faces. To solve poverty issues, one needs to know how severe the issue is. The Multidimensional Poverty Index (MPI) is a well-…

stat.ME2019★ 8 cited

A nonparametric framework for inferring orders of categorical data from category-real ordered pairs

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok +1

Given a dataset of careers and incomes, how large a difference of income between any pair of careers would be? Given a dataset of travel time records, how long do we need to spend…