activity
20162026
most citedVariable-lag Granger Causality and Transfer Entropy for Time Series Analysis

50 citations · 141 across the 19 of their papers we have counts for

collaborators

19 papers

cs.MA2026

Collective Counterfactual Planning: Coordination, Consent, and Verification under Representational Constraints

Chainarong Amornbunchornvej

Groups routinely complete projects that no single member can plan, execute, or verify alone. We propose a formal model of this phenomenon, Collective Counterfactual Planning (CCP),…

q-bio.NC2026

Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention

Chainarong Amornbunchornvej

An agent must act on the situation before it, learn what it cannot yet represent, and model other agents well enough to coordinate. These faculties are usually realized by separate…

cs.AI2025

Counterfactual Basis Extension and Representational Geometry: An MDL-Constrained Model of Conceptual Growth

Chainarong Amornbunchornvej

Concept learning becomes possible only when existing representations fail to account for experience. Most models of learning and inference, however, presuppose a fixed representati…

cs.AI2025

Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning

Chainarong Amornbunchornvej

This paper develops a geometric framework for modeling concepts, motivation, and influence across cognitively heterogeneous agents. Each agent is represented by a personalized valu…

stat.ME2024

Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis

Irving Gómez-Méndez, Chainarong Amornbunchornvej

Poverty is a serious issue that harms humanity progression. The simplest solution is to use one-shirt-size policy to alleviate it. Nevertheless, each region has its unique issues,…

cs.LG2024

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…

stat.ME2023★ 6 cited

Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models

Irving Gómez-Méndez, Chainarong Amornbunchornvej

One-shirt-size policy cannot handle poverty issues well since each area has its unique challenges, while having a custom-made policy for each area separately is unrealistic due to…

stat.ME2023★ 1 cited

Register-based Census in Thailand: a Case Study in Chachoengsao Province

Nuttirudee Charoenruk, Narongrid Asavaroungpipop, Pannee Pattanapradit +2

The use of registers has been increasingly popular in the field of population census because of its advantages over the traditional census. While the traditional census requires a…

stat.ME2022★ 4 cited

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-…

econ.GN2021

Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient

Wanetha Sudswong, Anon Plangprasopchok, Chainarong Amornbunchornvej

Income inequality is an important issue that has to be solved in order to make progress in our society. The study of income inequality is well received through the Gini coefficient…

cs.SI2021★ 7 cited

Framework for Inferring Leadership Dynamics of Complex Movement from Time Series

Chainarong Amornbunchornvej, Tanya Berger-Wolf

Leadership plays a key role in social animals, including humans, decision-making and coalescence in coordinated activities such as hunting, migration, sport, diplomatic negotiation…

cs.SI2020★ 7 cited

Mining and modeling complex leadership-followership dynamics of movement data

Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf

Leadership and followership are essential parts of collective decision and organization in social animals, including humans. In nature, relationships of leaders and followers are d…

cs.SI2020★ 3 cited

mFLICA: An R package for Inferring Leadership of Coordination From Time Series

Chainarong Amornbunchornvej

Leadership is a process that leaders influence followers to achieve collective goals. One of special cases of leadership is the coordinated pattern initiation. In this context, lea…

cs.LG2020★ 50 cited

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…

cs.LG2019★ 22 cited

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…

stat.ME2019★ 8 cited

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…

stat.ML2019★ 7 cited

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…

cs.LG2019★ 7 cited

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…

cs.SI2016★ 19 cited

Coordination Event Detection and Initiator Identification in Time Series Data

Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin +3

Behavior initiation is a form of leadership and is an important aspect of social organization that affects the processes of group formation, dynamics, and decision-making in human…