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4 papers · 1 filter
Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis
Naaek Chinpattanakarn, Chainarong Amornbunchornvej
Knowing who follows whom and what patterns they are following are crucial steps to understand collective behaviors (e.g. a group of human, a school of fish, or a stock market). Tim…
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
Chainarong Amornbunchornvej, Elena Zheleva, Tanya 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…
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…
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…