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Hashiguchi Lab
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A lab that studies the distributions of random matrices through both theory and numerical computation.
AboutAbout the lab
Exploring matrix distributions through theory and computation.
Hashiguchi Lab studies mathematical statistics.
Within multivariate analysis of real and complex numbers, the lab focuses on the complex case, with communication technology and shape analysis in mind.
The lab studies the distributions of random matrices from both theoretical and numerical computation approaches.
The distribution theory of complex random matrices has applications in statistical shape analysis and wireless communication technology.
Key terms
- Multivariate analysis
- A statistical method that examines many kinds of numerical values at once to grasp the relationships and characteristics of the data as a whole.
- Complex numbers
- Numbers formed by combining real numbers with a number whose square is minus one.
- Random matrix
- A matrix (a table of numbers arranged in rows and columns) whose entries are determined probabilistically.
ResearchResearch themes
Multivariate analysis of real and complex numbers has many applications. This lab focuses on the complex case, with communication technology and shape analysis in mind, and works on both theory and numerical computation methods for the distributions of random matrices.
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MembersFaculty
- ProfessorHiroki Hashiguchi
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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: “Random-pixels-black-white” Georg-Johann / CC0 (cropped)
- Theory and Computation of Random Matrix Distributions: “Vlsci pan e small-2” Vlsci / CC BY-SA 3.0 (cropped)
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