Chai's Homepage
ในแสงสว่างเห็นเพียงมายา ในความมืดมิดมิเห็นสิ่งใด
In the light, I see illusion. In the dark, I see nothing.
Profile
Name: Chainarong Amornbunchornvej
Occupation: Researcher, National Electronics and Computer Technology Center (NECTEC), Thailand
Alma mater: University of Illinois at Chicago (PhD in Computer Science - 2018)
Dissertation: Inference of Leadership of Coordinated Activity in Time Series
Advisor: Prof. Tanya Berger-Wolf
Academic tree: link
Keywords: Time series, Network analysis, Causality inference, Data mining, Machine learning, Game theory, Learning theory, Theoretical computer science, and Collective behaviors
Email: GOTO at ieee.org ( replace GOTO with chai)
Linkedin: link ORCID: link ACM: link DBLP: link arXiv: link
METACRAN: link Github: link CSauthors: link
500px: link
Web of Science: link
Wiki: link
About me
I have a passion to bring a simple but elegant solution to solve impactful, innovative, and challenging problems. My life-time goal is to be a great researcher who can translate real-world problems into the computational realm, then provide solutions that work in both theoretical and practical aspects. If a solution never exists, let us define the way to find it!
Talks
Collective behaviors, coordination, and leadership inference in time series. PDF
Is A Given Statement True From Data? Statistics, Machine Learning, And Causal Inference Approaches. PDF
Introduction to Learning from Data. PDF
Introduction to statistics Modeling & Inference. PDF
Pop science articles
เราทำนาย ชีวิตของคนในมิติต่างๆ ด้วย AI ได้จริงหรือ? link
เราจะรู้ได้อย่างไรว่าลิงปกครองด้วยเผด็จการหรือประชาธิปไตย สืบจาก time series หรรษา!! link
R CRAN packages
Currently, I'm the R CRAN package maintainer that take care the following packages.
VLTimeCausality: Variable-Lag Time Series Causality Inference Framework. https://cran.r-project.org/package=VLTimeCausality
EDOIF: Empirical Distribution Ordering Inference Framework (EDOIF). https://cran.r-project.org/package=EDOIF
mFLICA: Leadership-Inference Framework for Multivariate Time Series: 'mFLICA'. https://cran.r-project.org/package=mFLICA
ipADMIXTURE: Iterative Pruning Population Admixture Inference Framework. https://cran.r-project.org/package=ipADMIXTURE
MRReg: MDL Multiresolution Linear Regression Framework. https://cran.r-project.org/package=MRReg
BiCausality: Binary Causality Inference Framework. https://cran.r-project.org/package=BiCausality
