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Correction to "Usefulness of Sarilumab in Patients with Rheumatoid Arthritis after Regression of Lymphoproliferative Disorders". [PDF]
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Discriminative methods (e.g., kernel regression, SVM) have been extensively used to solve problems such as object recognition, image alignment and pose estimation from images. These methods typically map image features ( X) to continuous (e.g., pose) or discrete (e.g., object category) values. A major drawback of existing discriminative methods is that
Fernando De la Torre +2 more
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Discriminative methods (e.g., kernel regression, SVM) have been extensively used to solve problems such as object recognition, image alignment and pose estimation from images. These methods typically map image features ( X) to continuous (e.g., pose) or discrete (e.g., object category) values. A major drawback of existing discriminative methods is that
Fernando De la Torre +2 more
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On regressing regression coefficients
Journal of Statistical Planning and Inference, 1982This paper considers a regression model in which coefficients obtained from a previous regression are themselves the object of analysis. It is shown that the parameters of interest can be obtained in two ways: pooling across observations and subsamples, or a two-stage process of first estimating the coefficients within each subsample, and then using ...
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Annals of Operations Research, 1995
We take a regression-based approach to the problem of induction, which is the problem of inferring general rules from specific instances. Whereas traditional regression analysis fits a numerical formula to data, we fit a logical formula to boolean data. We can, for instance, construct an expert system for fitting rules to an expert's observed behavior.
Boros, E., Hammer, P. L., Hooker, J. N.
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We take a regression-based approach to the problem of induction, which is the problem of inferring general rules from specific instances. Whereas traditional regression analysis fits a numerical formula to data, we fit a logical formula to boolean data. We can, for instance, construct an expert system for fitting rules to an expert's observed behavior.
Boros, E., Hammer, P. L., Hooker, J. N.
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Regression and unbiased regression
Trabajos de Estadistica Y de Investigacion Operativa, 1978A method of evaluation of the efficiency of a regression function is given. Unbiased regression is defined. In annex, a method of computation of mean values is given, which is very useful in many cases.
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Regressing and Regressed Melanoma
2004Malignant melanoma frequently undergoes regression (10–35% of cases), and on occasion, this can be extensive. Regressed areas can vary from foci only a few rete ridges in breadth to being subtotal or even complete. Only about 40 cases of completely regressed primary melanoma are on record, but this is doubtless a huge underestimation.
Philip E. LeBoit, Guido Massi
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Regression Calibration in Failure Time Regression
Biometrics, 1997In this paper we study a regression calibration method for failure time regression analysis when data on some covariates are missing or mismeasured. The method estimates the missing data based on the data structure estimated from a validation data set, a random subsample of the study cohort in which covariates are always observed.
C. Y. Wang +3 more
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Multiple Regression—Regression Diagnostics
2004In Chapter 9 we show how to set up and produce an initial analysis of a regression model with several predictors. In the present chapter we discuss ways to investigate whether the model assumptions are met and, when the assumptions are not met, ways to revise the model to better conform with the assumptions. We also examine ways to assess the effect on
Burt Holland, Richard M. Heiberger
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Regression I. Experimental approaches to regression
Journal of Analytical Psychology, 2020AbstractThe concept of regression is considered with an emphasis on the differences between the positions of Freud and Jung regarding its significance. The paper discusses the results of experimental analyses of individual experience dynamics (from gene expression changes and impulse neuronal activity in animals to prosocial behaviour in healthy humans
Yuri Alexandrov +7 more
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