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

1 code implementation • 12 May 2022 • Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

However, it is not obvious that whether solving one MPI indicator might resolve or cause more issues in other MPI indicators and there is no framework dedicating to infer empirical causal relations among MPI indicators.

Causal Inference Relation

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

1 code implementation • 15 Nov 2019 • Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

Given a dataset of careers and incomes, how large a difference of income between any pair of careers would be?

Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income

1 code implementation • 10 Jul 2019 • Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong

Hence, the policy makers can plan to establish the policies by using these indicators in our results as a guideline to solve low-income issues.