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Nozawa Lab
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The lab improves and develops statistical methods for data analysis.
AboutAbout the lab
Inferring the whole picture from partial data.
The Nozawa Lab researches how to improve and develop statistical data analysis methods and apply them to real-world problems.
When making a decision, the data essential to that decision is rarely fully available.
Statistical data analysis is one tool for inferring the whole picture from partial data and making decisions with as few errors as possible.
The university's researcher profile lists "variable selection in multivariate analysis" as a research topic.
Key terms
- Statistical data analysis
- A tool for inferring the whole picture from partial data and supporting decisions with fewer errors
- Multivariate analysis
- A statistical approach that handles many variables at the same time and examines the relationships among them
- Variable selection
- Choosing which variables to use from among the many variables available for analysis
ResearchResearch themes
Statistical data analysis is one tool for inferring the whole picture from partial data and making decisions with fewer errors, but it is still a developing field. The lab works on improving existing statistical data analysis methods, developing new ones, and applying them to real-world problems.
View More ↗MembersFaculty
- ProfessorMasahiro Nozawa
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