Linear regression

Results: 5577



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1

Linear Regression Kalman Filtering Based on Hyperspherical Deterministic Sampling Gerhard Kurz and Uwe D. Hanebeck Abstract— Nonlinear filtering based on Gaussian densities is commonly performed using so-called Linear

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Source URL: isas.uka.de

Language: English - Date: 2017-12-20 11:43:12
    2

    Source and Channel Codes via Sparse Linear Regression Ramji Venkataramanan Sekhar Tatikonda

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    Source URL: www2.eng.cam.ac.uk

    Language: English - Date: 2013-02-11 11:00:50
      3

      Pattern Recognition And Machine Learning - EPFL - Fall 2015 Emtiyaz Khan, Timur Bagautdinov, Carlos Becker, Ilija Bogunovic & Ksenia Konyushkova 2. Linear Regression and Gradient Descent 2.1

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      Source URL: emtiyaz.github.io

      Language: English - Date: 2018-08-03 01:10:17
        4

        Flexible Covariate Adjustments in Randomized Experiments Christoph Rothe Abstract: Linear regression adjustments for pre-treatment covariates are widely used in economics to lower the variance of treatment effect estimat

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        Source URL: www.christophrothe.net

        Language: English - Date: 2018-05-18 07:42:19
          5

          C ONTRIBUTED RESEARCH ARTICLE 232 liureg: A Comprehensive R Package for the Liu Estimation of Linear Regression

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          Source URL: journal.r-project.org

          Language: English - Date: 2018-01-29 07:20:16
            6

            Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction Joey Hong ∗

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            Source URL: arxiv.org

            Language: English - Date: 2016-10-04 21:14:56
              7

              Suppose we measured for 40 subjects (p = 1, 2, . . . , 40) their average heart rate (hp ) and the amount of coffee they drank (cp ) during a day. We can do a linear regression between these two variables: hp = β0 + β1

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              Source URL: sachaepskamp.com

              - Date: 2015-01-25 10:45:36
                8

                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
                  9

                  Learning as Optimization: Linear Regression Piyush Rai Machine Learning (CS771A) Aug 10, 2016

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                  Source URL: cse.iitk.ac.in

                  - Date: 2016-09-08 02:00:12
                    10

                    Simple Linear Regression Models Raj Jain Washington University in Saint Louis Saint Louis, MO 63130

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                    Source URL: www.cs.wustl.edu

                    - Date: 2008-11-05 11:12:46
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