検索結果 5 件

図書
Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi, editors.Springer[2020]<MA211-D12>
国立国会図書館
  • 要約等...classification and data science and covers a wide ......ontext of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative......tical methods, and various applic......ical sciences, and other discipli......ng theoretical and methodological......marketing data and social network......ogical aspects and applications t......gement science and the social sci......or researchers and practitioners ......t developments and practical appl...... statisticians and data analysts. Its combinatio...
  • 内容細目Chapter 1. Multilevel model-based clusteri......al development modelling Chapter 3.......ametric latent modeling and network cluste......on Chapter 5. Random forests foll......y computed ABC analysis as a feature selection method for mac......Correspondence Analysis Chapter 11. Fr...... Visualization and Search in Big ......ing Pixellated Factor Space Mapping ......g approach for analysis of concentrati......lized additive models for the detec......r 17. Variable selection for classifica...... Initial value selection for the altern......tic Regression Model Chapter 22. Co......ting graphical models for multi-source data: Spars...
  • タイトル標目Studies in classification, data analysis, and knowledge organization, 1431-...
デジタル記事
2008-01-15MHF Preprint Series2008-2
インターネットで読める全国の図書館
  • 要約等Factor analysis provides a use......t of observed random variables by......ler number of random variables called common factors. In maximum likelihood factor analysis, the estimates......ions, we use a Bayesian approach by sp......es of specific factors, i.e., we int......ial aspects of Bayesian factor analysis include the ch......r distribution and also choosing ......iate number of factors. The choice o......be viewed as a model selection and evaluation pro......m. We derive a model selection criterion for a Bayesian factor analysis model. Monte Carlo simulations are ...
  • 標準番号(その他)https://hdl.handle.net/2324/9096
  • 件名Bayesian approach EM algorithm Factor analysis Model selection criterion
デジタル記事
Hirose, Kei, 川野, 秀一, 小西, 貞則, 市川, 雅教Faculty of Mathematics, Kyushu University2008-01-15MHF Preprint Series2008-2
インターネットで読める全国の図書館
  • 件名Bayesian approach EM algorithm Factor analysis Model selection criterion

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