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青嶋研究室
Showing the original Japanese · View translation
高次元データの統計解析の理論と方法をつくる研究室。
AboutAbout the lab
高次元データを、数理で読み解く。
青嶋研究室は、
例えば
従来の
統計学の
Key terms
- 高次元小標本
- データの
次元数が 標本数よりはるかに 大きい データ。 ゲノムデータが その 例 - ゲノムデータ
- 高次元小標本の
例。 次元数が 遺伝子数、 標本数が 被験者数に あたる - 高次元小標本漸近理論
- 開発した
方 法論に 統計的な 精度保証を 与える ための、 統一的な アプローチ
NewsLab news
博士課程の
学生が、 日本統計学会春季集会の ポスターセッションで 優秀発表賞を 受賞 修士課程の
学生が、 日本統計学会春季集会の ポスターセッションで 学生優秀発表賞を 受賞 博士課程の
学生が、 異分野・異業種研究交流会2025で ベストポスター発表賞を 受賞 修士課程の
学生が、 筑波大学の 数理物質科学研究群長賞と 茗渓会賞を 受賞 修士課程の
学生が、 2024年度統計関連学会連合大会で 優秀報告賞を 受賞
ResearchResearch themes
現代科学の
MembersFaculty
青嶋研究室の
- Professor青嶋 誠
- Professor矢田 和善
VoicesStudent voices
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Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to 青嶋研究室
大谷内 奈穂 研究室理工学群 数学類統計的非正則推定論の
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竹内 耕太 研究室理工学群 数学類数理論理学、
照井 章 研究室理工学群 数学類計算代数、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: “Mechanical-calculator-Brunsviga-15-01” CEphoto, Uwe Aranas / CC BY-SA 3.0 (cropped)
- 高次元データ解析の
理論と 方法論: “Microarray (NIH BioArt 736)” Courtesy of NIAID Ryan Kissinger / Public domain (cropped) - Related lab (大谷内 奈穂 研究室): “Jeffreys prior probability for the beta distribution - J. Rodal” Dr. J. Rodal / CC BY-SA 3.0 (cropped)
- Related lab (矢田 和善 研究室): “Climate data analysis using tSNE method” Orlovma / CC BY 4.0 (cropped)
- Related lab (竹内 耕太 研究室): “Classroom blackboard at Cornell University, Ithaca, NY 25” LBM1948 / CC BY-SA 4.0 (cropped)
- Related lab (照井 章 研究室): “Kreis Maxima” Birgit 18 / CC BY-SA 4.0 (cropped)
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