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確率・統計（丸山 祐造）
Showing the original Japanese · View translation
データから推測する方法の良し悪しを、理論で見きわめる。
AboutAbout the lab
よい推定とは何かを、理論で確かめる。
丸山祐造先生は、
データから
ジェームズ・スタイン推定量のような
事前分布を
Key terms
- 縮小型推定量
- 推定値を
全体の 中心へ 少し 引き寄せる ことで、 平均的な 誤差を 小さく する 推定の しかた - ミニマクス性
- いちばん条件の
悪い 場合に 生じる 誤差を、できるだけ小さく 抑えられると いう 性質 - ベイズ統計
- データを
見る 前の 見込み （事前分布）と 観測した データを 合わせて 推測する 考え方
NewsLab news
丸山教授らの
論文が、 Statに 掲載 丸山教授らの
論文が、 Journal of Multivariate Analysisに 掲載 丸山教授らの
論文が、 Japanese Journal of Statistics and Data Scienceに 掲載
ResearchResearch themes
専門は
MembersFaculty
- Professor丸山 祐造
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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: “Galton box 2” Klaus-Dieter Keller / Public domain (cropped)
- Related lab (確率・統計
（奥戸 道子） ): “Saddle Tower Minimal Surfaces” Anders Sandberg / CC BY-SA 3.0 (cropped) - Related lab (確率・統計
（今村 卓史） ): “Brownian trajectory” Roque345 / CC BY 3.0 (cropped) - Related lab (幾何
（三田 史彦） ): “3D-Cylinder with handle and torus with hole” 作者不詳 / Public domain (cropped) - Related lab (情報数理
（中村 誠希） ): “Signal flow graph for a digital IIR Biquad” Constant314 / CC0 (cropped)
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