50 citations · 141 across the 19 of their papers we have counts for
4 papers · 1 filter
Variable-lag Granger Causality for Time Series Analysis
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Granger causality is a fundamental technique for causal inference in time series data, commonly used in the social and biological sciences. Typical operationalizations of Granger c…
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…
Framework for Inferring Following Strategies from Time Series of Movement Data
Chainarong Amornbunchornvej, Tanya Berger-Wolf
How do groups of individuals achieve consensus in movement decisions? Do individuals follow their friends, the one predetermined leader, or whomever just happens to be nearby? To a…
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…