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Amano Lab
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A mathematical statistics lab that studies time series data using statistical theory.
AboutAbout the lab
Reading time series data through mathematical statistics
The Amano Lab studies time series analysis and mathematical statistics.
On researchmap, the research keywords listed are time series analysis, financial engineering, and mathematical statistics.
The papers listed on researchmap (2007–2012) include work on the properties of estimation for time series models and work on portfolio optimization.
The professor has co-authored a book, "Statistical Inference for Financial Engineering."
Key terms
- Time series analysis
- A field that uses statistical methods to study the properties of data arranged in time order
- Financial engineering
- A field that uses mathematical and statistical methods to address problems in finance
- Mathematical statistics
- A discipline that uses probability theory to study theoretically what can be concluded from data
ResearchResearch themes
The lab studies time series analysis, which deals with data that changes over time, and the theory of statistical inference for it. Its papers and books also cover statistical methods related to financial engineering.
View More ↗MembersFaculty
- Associate ProfessorTomoyuki Amano
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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: “The Tokyo Stock Exchange - main room 4” Kakidai / CC BY-SA 4.0 (cropped)
- Related lab (Sato Lab): “Unevolved swimbots showing genetic diversity” Tinyclick / CC BY-SA 4.0 (cropped)
- Related lab (Kano Lab): “Simplified neural network example” Mikael Häggström, M.D. Author info - Reusing images- Conflicts of interest: None Mikael Häggström, M.D. / CC0 (cropped)
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