LAB LOGA page on LabLog, a review site (not the lab's official page)
Statistical Analysis and Sparse Estimation Lab (Kei Hirose)
Machine-translated · View original
The lab researches and develops new statistical analysis methods based on mathematical statistics.
AboutAbout the lab
Extracting useful information from data with new statistical methods
The Hirose Lab researches and develops new statistical analysis methods based on mathematical statistics.
It also incorporates ideas from methods used in machine learning.
Analyzing large-scale data such as genetic data requires statistical models with tens of thousands to hundreds of millions of parameters.
The lab is therefore working on new methods of sparse estimation, which extract useful information by estimating most of a large number of parameters as exactly zero.
Key terms
- Sparse estimation
- A method for analyzing high-dimensional data that performs estimation while automatically selecting important variables.
- Factor analysis
- A method for capturing a small number of latent factors behind many observed variables.
NewsLab news
View More ↗ResearchResearch themes
The Hirose Lab researches and develops new statistical analysis methods based on mathematical statistics. Incorporating ideas from methods used in machine learning, it has recently been working on factor analysis, sparse estimation, and applications of data science.
*Illustrative imageTheory and Estimation Methods of Factor Analysis
Factor analysis captures a small number of latent factors behind many observed variables. The lab studies its theory, estimation methods, rotation methods, and interpretability. The method is used in a wide range of fields, including psychology and the social sciences.
*Illustrative imageSparse Estimation for High-Dimensional Data
In the analysis of high-dimensional data, sparse estimation, which performs estimation while automatically selecting important variables, becomes important. The lab studies its theory, computational methods, and applications.
*Illustrative imageStatistical Analysis of Real-World Data
This research applies statistical methods to the analysis of real-world data. The lab conducts statistical data analysis on real data, such as electricity demand forecasting and prediction of material properties.
MembersFaculty
- ProfessorKei Hirose
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Statistical Analysis and Sparse Estimation Lab (Kei Hirose)
Statistical Analysis and Sparse Estimation LabInstitute of Mathematics for Industry, Division of Industrial Mathematical Statistics ResearchStatistical analysis; sparse estimation; factor analysis; mu…
〈Statistical Science / Small Area Estimation〉Institute of Mathematics for Industry, Division of Industrial Mathematical Statistics ResearchStatistical science; small area estimation; mixed-effects mo…
Statistical Science and Small Area Estimation Lab (Masayo Hirose)Institute of Mathematics for Industry, Division of Industrial Mathematical Statistics ResearchStatistical science; small area estimation; mixed-effects mo…
〈Bayesian Statistics / Uncertainty Quantification〉Institute of Mathematics for Industry, Division of Industrial Mathematical Statistics ResearchUncertainty quantification and model selection based on Baye…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Data Analysis ( )” IAEA Imagebank / CC BY 2.0 (cropped)
- Theory and Estimation Methods of Factor Analysis: “Questionnaire-checklist” https://pixabay.com/users/moteoo-466065/ / CC0 (cropped)
- Sparse Estimation for High-Dimensional Data: “Hessian matrix with columns coloured” Gowerrobert / CC BY-SA 3.0 (cropped)
- Statistical Analysis of Real-World Data: “Electricity pylons, sunset 01” Novoklimov / CC BY 4.0 (cropped)
- Related lab (Statistical Analysis and Sparse Estimation Lab): “Factor rotatie” Frederik Beuk / Public domain (cropped)
- Related lab (〈Statistical Science / Small Area Estimation〉): “Colorado census statistical areas 2020” Buaidh / CC0 (cropped)
- 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 (〈Bayesian Statistics / Uncertainty Quantification〉): “VLT 4LGSF OTA L2 lens measurement on NANOMEFOS (tno kamphues 22)” F. Kamphues/TNO/ESO / CC BY 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.