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統計解析・スパース推定（廣瀨 慧）
Showing the original Japanese · View translation
数理統計学を土台に新しい統計解析手法を研究開発する研究室。
AboutAbout the lab
統計の新しい手法で、データから有効な情報を取り出す。
廣瀬慧研究室は、
機械学習で
遺伝子データなどの
そこで、
Key terms
- スパース推定
- 高次元データの
解析で、 重要な 変数を 自動的に 選びながら 推定を 行う 方法 - 因子分析
- 多くの
観測変数の 背後に ある 少数の 潜在因子を 捉える ための 方法
NewsLab news
View More ↗ResearchResearch themes
廣瀬研究室では、
*Illustrative image因子分析の理論と推定法
多くの
*Illustrative image高次元データのスパース推定
高次元データの
*Illustrative image実データの統計的解析
統計学の
MembersFaculty
- Professor廣瀬 慧
VoicesStudent voices
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Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to 統計解析・スパース推定（廣瀨 慧）
〈統計解析・スパース推定〉マス・フォア・インダストリ研究所 産業数理統計研究部門統計解析・スパース推定・因子分析・
〈統計科学・
統計科学・
〈ベイズ統計・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)
- 因子分析の
理論と 推定法: “Questionnaire-checklist” https://pixabay.com/users/moteoo-466065/ / CC0 (cropped) - 高次元データの
スパース推定: “Hessian matrix with columns coloured” Gowerrobert / CC BY-SA 3.0 (cropped) - 実データの
統計的解析: “Electricity pylons, sunset 01” Novoklimov / CC BY 4.0 (cropped) - Related lab (〈統計解析・スパース推定〉): “Factor rotatie” Frederik Beuk / Public domain (cropped)
- Related lab (〈統計科学・
小地域推定〉): “Colorado census statistical areas 2020” Buaidh / CC0 (cropped) - Related lab (統計科学・
小地域推定 （廣瀬 雅代） ): “1922 Index of Great Trigonometrical Survey of India” Survey of India, Government of India / Public domain (cropped) - Related lab (〈ベイズ統計・
不確実性定量化〉): “VLT 4LGSF OTA L2 lens measurement on NANOMEFOS (tno kamphues 22)” F. Kamphues/TNO/ESO / CC BY 4.0 (cropped)
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