Regression analysis

Results: 10951



#Item
1Analysis Regression Summary KDD CUP 2017: Volume Prediction Task Solution by CarTrailBlazer

Analysis Regression Summary KDD CUP 2017: Volume Prediction Task Solution by CarTrailBlazer

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Source URL: www.kdd.org

Language: English - Date: 2017-09-24 17:29:13
    2Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable François Gerard, Miikka Rokkanen, and Christoph Rothe Abstract The key assumption in regression discontinuity analysis

    Bounds on Treatment Effects in Regression Discontinuity Designs with a Manipulated Running Variable François Gerard, Miikka Rokkanen, and Christoph Rothe Abstract The key assumption in regression discontinuity analysis

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    Source URL: www.christophrothe.net

    Language: English - Date: 2018-02-22 15:47:48
      3Fully Bayesian analysis of allele-specific RNA-seq data using a hierarchical, overdispersed, count regression model Ignacio Alvarez Jarad Niemi

      Fully Bayesian analysis of allele-specific RNA-seq data using a hierarchical, overdispersed, count regression model Ignacio Alvarez Jarad Niemi

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      Source URL: www.user2017.brussels

      Language: English - Date: 2017-06-23 00:29:06
        4Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

        Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa

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        Source URL: mirror.its.dal.ca

        Language: English - Date: 2005-10-14 13:13:35
          5Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

          Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 6 Dimensionality Reduction and Learning: Ridge Regression vs. PCA Instructor: Sham Kakade

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          Source URL: stat.wharton.upenn.edu

          Language: English - Date: 2010-02-16 23:17:29
            6Economic Uncertainty, Job Threat and the Resiliency of the Millennial Generation’s Attitudes toward Immigration (Appendices) Appendix A: Variable Coding The data used in the regression analysis were taken from the Amer

            Economic Uncertainty, Job Threat and the Resiliency of the Millennial Generation’s Attitudes toward Immigration (Appendices) Appendix A: Variable Coding The data used in the regression analysis were taken from the Amer

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            Source URL: gvptsites.umd.edu

            - Date: 2015-06-22 11:56:39
              7Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Appendix: Proofs A. Preliminaries Our upper and lower bound analysis relies predominantly on Fourier analysis, so we no

              Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Appendix: Proofs A. Preliminaries Our upper and lower bound analysis relies predominantly on Fourier analysis, so we no

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              Source URL: proceedings.mlr.press

              - Date: 2018-02-06 15:06:57
                814. Logistic Regression and Newton’s Method, Advanced Data Analysis 15 March 2011 Reading: Faraway, Chapter 2, omitting sections 2.11 andContents

                14. Logistic Regression and Newton’s Method, Advanced Data Analysis 15 March 2011 Reading: Faraway, Chapter 2, omitting sections 2.11 andContents

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                Source URL: www.stat.cmu.edu

                - Date: 2011-03-15 23:39:04
                  9Performance Analysis of Machine Learning Algorithms for Regression of Spatial Variables. A Case Study in the Real Estate Industry Sebastian F. Santibanez1, Marius Kloft2 , Tobia Lakes3 1

                  Performance Analysis of Machine Learning Algorithms for Regression of Spatial Variables. A Case Study in the Real Estate Industry Sebastian F. Santibanez1, Marius Kloft2 , Tobia Lakes3 1

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                  Source URL: www.geocomputation.org

                  - Date: 2015-05-15 12:14:38
                    10Functional Mechanism: Regression Analysis under Differential Privacy Jun Zhang1 Zhenjie Zhang2 Xiaokui Xiao1 Yin Yang2

                    Functional Mechanism: Regression Analysis under Differential Privacy Jun Zhang1 Zhenjie Zhang2 Xiaokui Xiao1 Yin Yang2

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                    Source URL: vldb.org

                    - Date: 2012-07-27 13:07:36