Search Results for author: Chainarong Amornbunchornvej

Found 11 papers, 9 papers with code

Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis

1 code implementation5 Jan 2024 Naaek Chinpattanakarn, Chainarong Amornbunchornvej

In this work, we formalize a concept of following motifs between two time series and present a framework to infer following patterns between two time series.

Relation Time Series

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

1 code implementation12 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

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

no code implementations5 Nov 2021 Wanetha Sudswong, Anon Plangprasopchok, Chainarong Amornbunchornvej

The study of income inequality is well received through the Gini coefficient, which is used to measure degrees of inequality in general.

Mining and modeling complex leadership-followership dynamics of movement data

no code implementations4 Oct 2020 Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf

We use the leadership inference framework, mFLICA, to infer the time series of leaders and their factions from movement datasets and then propose an approach to mine and model frequent patterns of both leadership and followership dynamics.

Decision Making Leadership Inference +1

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

1 code implementation10 Apr 2020 Chainarong Amornbunchornvej

Leadership is a process that leaders influence followers to achieve collective goals.

Leadership Inference Time Series Analysis Social and Information Networks Econometrics Computation Methodology 62-04, 62M10 G.3

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis

2 code implementations1 Feb 2020 Chainarong Amornbunchornvej, Elena Zheleva, Tanya Berger-Wolf

We demonstrate our approaches on an application for studying coordinated collective behavior and other real-world casual-inference datasets and show that our proposed approaches perform better than several existing methods in both simulated and real-world datasets.

Causal Inference Dynamic Time Warping +3

Variable-lag Granger Causality for Time Series Analysis

2 code implementations18 Dec 2019 Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf

Typical operationalizations of Granger causality make a strong assumption that every time point of the effect time series is influenced by a combination of other time series with a fixed time delay.

Causal Inference Leadership Inference +2

Framework for Inferring Following Strategies from Time Series of Movement Data

1 code implementation4 Nov 2019 Chainarong Amornbunchornvej, Tanya Berger-Wolf

Given a set of time series that includes coordinated movement and a set of candidate strategies as inputs, we provide the first methodology (to the best of our knowledge) to infer whether each individual uses local-agreement-system or dictatorship-like strategy to achieve movement coordination at the group level.

Leadership Inference Model Selection +2

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

1 code implementation10 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.

Coordination Event Detection and Initiator Identification in Time Series Data

1 code implementation4 Mar 2016 Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf

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 societies and other social animal species.

Decision Making Event Detection +3

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