8 citations · 19 across the 3 of their papers we have counts for
3 papers
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-…
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…
Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income
Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok +1
One shirt size cannot fit everybody, while we cannot make a unique shirt that fits perfectly for everyone because of resource limitation. This analogy is true for the policy making…