Regression

Results: 13118



#Item
81

C ONTRIBUTED RESEARCH ARTICLE 440 riskRegression: Predicting the Risk of an Event using Cox Regression Models

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Source URL: journal.r-project.org

- Date: 2018-01-29 07:20:22
    82

    Learning to Track at 100 FPS with Deep Regression Networks - Supplementary Material David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

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    Source URL: davheld.github.io

    - Date: 2017-12-05 20:18:02
      83

      Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Haim Avron 1 Michael Kapralov 2 Cameron Musco 3 Christopher Musco 3 Ameya Velingker 2 Amir Zandieh 2 Abstract

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      Source URL: proceedings.mlr.press

      - Date: 2018-02-06 15:06:57
        84

        High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression Ghislain Durif, Laurent Modolo, Jakob Michaelsson, Jeff Mold, Sophie Lambert-Lacroix, Franck Picard To cite this version:

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        Source URL: hal.archives-ouvertes.fr

        - Date: 2018-03-28 20:13:22
          85

          COBRA: A combined regression strategy

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          Source URL: bguedj.github.io

          - Date: 2018-03-21 04:06:23
            86

            C ONTRIBUTED RESEARCH ARTICLE 474 Splitting It Up: The spduration Split-Population Duration Regression

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            Source URL: journal.r-project.org

            - Date: 2018-01-29 07:20:17
              87

              A Short Introduction to the caret Package Max Kuhn October 28, 2016 The caret package (short for classification and regression training) contains functions to streamline

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              Source URL: cran.r-project.org

              - Date: 2017-04-18 03:21:23
                88

                CHAPTER 23 Causal inference using multilevel models Causal inference using regression has an inherent multilevel structure—the data give comparisons between units, but the desired causal inferences are within units. E

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                Source URL: www.stat.columbia.edu

                - Date: 2007-12-08 21:40:08
                  89

                  CHAPTER 10 Causal inference using more advanced models Chapter 9 discussed situations in which it is dangerous to use a standard linear regression of outcome on predictors and an indicator variable for estimating causal

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                  Source URL: www.stat.columbia.edu

                  - Date: 2007-12-08 21:40:02
                    90

                    Regression Discontinuity in Time: Considerations for Empirical Applications Catherine Hausman David S. Rapson∗

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                    Source URL: rapson.ucdavis.edu

                    - Date: 2017-07-19 11:15:11
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