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Mathematical Statistics and Statistical Learning Theory Lab
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A lab exploring the intersection of computational statistics and machine learning.
AboutAbout the lab
Handling large-scale data with statistical theory
Professor Hien Duy Nguyen, who holds concurrent faculty appointments at Kyushu University and La Trobe University in Australia, studies computational statistics and its connections to machine learning and AI.
The work centers on analyzing data that accumulate gradually and data too large for ordinary computers to handle, addressing these difficulties with methods such as stochastic optimization and Bayesian inference.
Professor Nguyen is also interested in tools for model selection when data are complex, methods for testing the validity of that selection, and ways of showing the quality of a decision together with a measure of confidence.
Professor Nguyen's methods are used in applied research in neuroimaging, agriculture, genetics and genomics, quantum computation, economics, and other areas.
Key terms
- Stochastic optimization
- A computational method for searching for the best solution while using random numbers or a subset of the data.
- Bayesian inference
- A statistical method in which the probability that a belief is correct is updated each time data are observed.
- Model selection
- Choosing, from several candidates, the statistical model that best fits and explains the data.
ResearchResearch themes
Professor Nguyen's research centers on how to analyze data that accumulate gradually and data too large to be handled by ordinary computers. Using stochastic optimization and Bayesian inference, the research also aims to develop statistical tools for model selection and for showing the confidence of decisions.
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MembersFaculty
- ProfessorHien Duy Nguyen
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Dices-probability-def-2” Svjo / CC BY-SA 3.0 (cropped)
- Statistical methods for large-scale data: “DESI Year-3 Data Slice (noirlab2512b)” DESI Collaboration/DOE/KPNO/NOIRLab/NSF/AURA/R. Proctor / CC BY 4.0 (cropped)
- Related lab (Mathematical Statistics and Statistical Learning Theory Lab (Hien Duy Nguyen)): “Big Data ITMI model with topics” Laibniz / CC BY-SA 4.0 (cropped)
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- Related lab (Statistical Science and Small Area Estimation Lab (Masayo Hirose)): “1922 Index of Great Trigonometrical Survey of India” Survey of India, Government of India / Public domain (cropped)
- Related lab (Statistical Analysis and Sparse Estimation Lab): “Factor rotatie” Frederik Beuk / Public domain (cropped)
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