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Chainarong Amornbunchornvej

National Electronics and Computer Technology Center (from arXiv:2002.00208, 2020) · ORCID · OpenAlex

13 papers in scope · 9 published · 3 on the econ.EM arXiv · 47 citations · h-index 4 (over the papers listed here)

Related authors

The 4 authors closest to this one in our weighted citation graph, most related first.

  1. Tanya Berger-Wolf
  2. Elena Zheleva
  3. Tattep Lakmuang
  4. Chakattrai Sookkongwaree

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(5 of 13)

Regional and spatial dependence of poverty factors in Thailand, and its use in Bayesian hierarchical regression analysis
published2026 · Statistical Journal of the IAOS
with Irving Gómez-Méndez
Statistical Journal of the IAOS
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
working paper2025 · arXiv
with Chakattrai Sookkongwaree, Tattep Lakmuang
Paper profile arXiv arXiv:2508.00658
Occupational income inequality of Thailand: a case study of utilizing income dominant-distribution networks to measure inequality beyond Gini coefficient
published2025 · Social Network Analysis and Mining
with Wanetha Sudswong, Anon Plangprasopchok
Social Network Analysis and Mining
Framework for Variable-Lag Motif Following Relation Inference in Time Series Using Matrix Profile Analysis
published2025 · ACM Transactions on Knowledge Discovery from Data · first circulated 2024
with Naaek Chinpattanakarn
ACM Transactions on Knowledge Discovery from Data
Income, education, and other poverty-related variables: A journey through Bayesian hierarchical models
published2024 · Heliyon · 6 citations · first circulated 2023
with Irving Gómez-Méndez
Heliyon
Register-based census in Thailand: A case study in Chachoengsao province
published2023 · Statistical Journal of the IAOS · 1 citations
with Nuttirudee Charoenruk, Narongrid Asavaroungpipop, Pannee Pattanapradit, Kittiya Ku-kiattikun
Statistical Journal of the IAOS
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis
published2023 · Heliyon · 4 citations · first circulated 2022
with Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
Heliyon
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income
published2021 · ACM Transactions on Knowledge Discovery from Data · 7 citations
with Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
ACM Transactions on Knowledge Discovery from Data
Framework for Inferring Following Strategies from Time Series of Movement Data
published2020 · ACM Transactions on Knowledge Discovery from Data · 7 citations
with Tanya Berger-Wolf
ACM Transactions on Knowledge Discovery from Data
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
working paper2020 · arXiv · 1 citations
with Elena Zheleva, Tanya Berger-Wolf
Paper profile arXiv arXiv:2002.00208
Variable-lag Granger Causality for Time Series Analysis
working paper2019 · arXiv · 2 citations
with Elena Zheleva, Tanya Berger-Wolf
Paper profile arXiv arXiv:1912.10829
Coordination Event Detection and Initiator Identification in Time Series Data
published2018 · ACM Transactions on Knowledge Discovery from Data · 19 citations
with Ivan Brugere, Ariana Strandburg-Peshkin, Damien R. Farine, Margaret C. Crofoot, Tanya Berger-Wolf
Paper profile ACM Transactions on Knowledge Discovery from Data arXiv:1603.01570
mFLICA: An R package for Inferring Leadership of Coordination From Time Series
working paper · arXiv
Paper profile arXiv:2004.06092

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.