منابع مشابه
Fisher and Regression
In 1922 R. A. Fisher introduced the modern regression model, synthesizing the regression theory of Pearson and Yule and the least squares theory of Gauss. The innovation was based on Fisher’s realization that the distribution associated with the regression coefficient was unaffected by the distribution of X. Subsequently Fisher interpreted the fixed X assumption in terms of his notion of ancill...
متن کاملMulti-output regression on the output manifold
Article history: Received 8 September 2008 Received in revised form 23 February 2009 Accepted 1 May 2009
متن کاملComment: Fisher Lecture: Dimension Reduction in Regression
I am pleased to participate in this well-deserved recognition of Dennis Cook’s remarkable career. Cook points out Fisher’s insistence that predictor variables in regression be chosen without reference to the dependent variable. Reduction by principal components clearly satisfies that dictum. One of my primary objections to partial least squares regression when I first encountered it as an alter...
متن کاملComment: Fisher Lecture: Dimension Reduction in Regression
This paper puts dimension reduction into the historical context of sufficiency, efficiency and principal component analysis, and opens up an avenue toward efficient dimension reduction via maximum likelihood estimation of inverse regression. I congratulate Professor Cook for this insightful and groundbreaking work. My discussion will focus on two points that explore and extend Cook’s ideas. The...
متن کاملFisher information embedding for video indexing and retrieval
In this paper, we present a novel information embedding based approach for video indexing and retrieval. The high dimensionality for video sequences still poses a major challenge of video indexing and retrieval. Different from the traditional dimensionality reduction techniques such as Principal Component Analysis (PCA), we embed the video data into a low dimensional statistical manifold obtain...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2018
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-018-5698-0