From 9bd5a99d251fa0f3ab6bf77bea277360706fb782 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Wed, 11 Oct 2017 12:34:52 +0200 Subject: [PATCH] starting to wrap up regression analysis slides --- .../Regression/html/._Regression-bs000.html | 34 ++++- .../Regression/html/._Regression-bs001.html | 47 +++++- .../Regression/html/._Regression-bs002.html | 140 ++++++++++++++++++ doc/pub/Regression/html/Regression-bs.html | 34 ++++- .../Regression/html/Regression-reveal.html | 53 ++++++- .../Regression/html/Regression-solarized.html | 56 ++++++- doc/pub/Regression/html/Regression.html | 56 ++++++- .../ipynb/ipynb-Regression-src.tar.gz | Bin 214 -> 212 bytes .../pdf/Regression-beamer-handouts2x3.pdf | Bin 60068 -> 118052 bytes doc/pub/Regression/pdf/Regression-beamer.pdf | Bin 56550 -> 120765 bytes doc/pub/Regression/pdf/Regression-minted.pdf | Bin 158677 -> 181003 bytes doc/src/Regression/Regression.do.txt | 19 ++- doc/src/Regression/make.sh | 2 +- 13 files changed, 401 insertions(+), 40 deletions(-) create mode 100644 doc/pub/Regression/html/._Regression-bs002.html diff --git a/doc/pub/Regression/html/._Regression-bs000.html b/doc/pub/Regression/html/._Regression-bs000.html index 1eaaf829a..3fd5ac51e 100644 --- a/doc/pub/Regression/html/._Regression-bs000.html +++ b/doc/pub/Regression/html/._Regression-bs000.html @@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis @@ -39,11 +39,29 @@ Automatically generated HTML file from DocOnce source + + + + + + +
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  • Contents
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    Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis

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    Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis

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    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

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    Sep 20, 2017

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    Oct 11, 2017


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    diff --git a/doc/pub/Regression/html/._Regression-bs001.html b/doc/pub/Regression/html/._Regression-bs001.html index a8e35f833..d0c0c55ac 100644 --- a/doc/pub/Regression/html/._Regression-bs001.html +++ b/doc/pub/Regression/html/._Regression-bs001.html @@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis @@ -39,11 +39,29 @@ Automatically generated HTML file from DocOnce source + + + + + + +
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  • Contents
    • @@ -77,22 +96,38 @@ end of tocinfo --> -

    Introduction

    +

    Regression analysis, overarching aims

    +Regression modeling deals with the description of the sampling distribution of a given random variable \( y \) varies as function of another variable or a set of such variables \( \hat{x} =[x_0, x_1,\dots, x_p] \). +The first variable is called the dependent, the outcome or the response variable while the set of variables \( \hat{x} \) is called the independent variable, or the predictor variable or the explanatory variable. + +

    +A regression model aims at finding a likelihood function \( p(y\vert \hat{x}) \), that is the conditional distribution for \( y \) with a given \( \hat{x} \). The estimation of \( p(y\vert \hat{x}) \) is made using a data set with + +

      +
    • \( n \) cases \( i = 0, 1, 2, \dots, n-1 \)
      • +
    • Response (dependent or outcome) variable \( y_i \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +
    • \( p \) Explanatory (independent or predictor) variables \( \hat{x}_i=[x_{i0}, x_{i1}, \dots, x_{ip}] \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +
    + + The goal of the regression analysis is to extract/exploit relationship between \( y_i \) and \( \hat{x}_i \) in or to infer causal dependencies, approximations to the likelihood functions, functional relationships and to make predictions .
    +

    diff --git a/doc/pub/Regression/html/._Regression-bs002.html b/doc/pub/Regression/html/._Regression-bs002.html new file mode 100644 index 000000000..d5cdd4d07 --- /dev/null +++ b/doc/pub/Regression/html/._Regression-bs002.html @@ -0,0 +1,140 @@ + + + + + + + +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis + + + + + + + + + + + + + + + + + + + + + + + +
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    + + Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis +
    + +
    + +
    +
    +
    + +
    + +

     

     

     

    + + + + +

    General linear models

    +
    +
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    +more text to come + +

    +

    +
    + + +

    + +

    + + +
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    + + + + + + diff --git a/doc/pub/Regression/html/Regression-bs.html b/doc/pub/Regression/html/Regression-bs.html index 1eaaf829a..3fd5ac51e 100644 --- a/doc/pub/Regression/html/Regression-bs.html +++ b/doc/pub/Regression/html/Regression-bs.html @@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis @@ -39,11 +39,29 @@ Automatically generated HTML file from DocOnce source + + + + + + +
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  • Contents
    • @@ -80,7 +99,7 @@ end of tocinfo -->
    -

    Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis

    +

    Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis

    @@ -96,7 +115,7 @@ end of tocinfo -->

    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

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    Sep 20, 2017

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    Oct 11, 2017


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    diff --git a/doc/pub/Regression/html/Regression-reveal.html b/doc/pub/Regression/html/Regression-reveal.html index 6622714b1..ee280cc3c 100644 --- a/doc/pub/Regression/html/Regression-reveal.html +++ b/doc/pub/Regression/html/Regression-reveal.html @@ -1,10 +1,11 @@ +\ - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis @@ -106,6 +107,22 @@ td.padding { + + + + + + + @@ -115,7 +132,7 @@ td.padding { -

    Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis

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    Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis

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    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

     
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    Sep 20, 2017

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    Oct 11, 2017


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    -

    Introduction

    +

    Regression analysis, overarching aims

    +Regression modeling deals with the description of the sampling distribution of a given random variable \( y \) varies as function of another variable or a set of such variables \( \hat{x} =[x_0, x_1,\dots, x_p] \). +The first variable is called the dependent, the outcome or the response variable while the set of variables \( \hat{x} \) is called the independent variable, or the predictor variable or the explanatory variable. + +

    +A regression model aims at finding a likelihood function \( p(y\vert \hat{x}) \), that is the conditional distribution for \( y \) with a given \( \hat{x} \). The estimation of \( p(y\vert \hat{x}) \) is made using a data set with + +

      +

    • \( n \) cases \( i = 0, 1, 2, \dots, n-1 \)
      • +

    • Response (dependent or outcome) variable \( y_i \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +

    • \( p \) Explanatory (independent or predictor) variables \( \hat{x}_i=[x_{i0}, x_{i1}, \dots, x_{ip}] \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +
    +

    + + The goal of the regression analysis is to extract/exploit relationship between \( y_i \) and \( \hat{x}_i \) in or to infer causal dependencies, approximations to the likelihood functions, functional relationships and to make predictions . +

    +
    + + +
    +

    General linear models

    +
    + +

    +more text to come + +

    diff --git a/doc/pub/Regression/html/Regression-solarized.html b/doc/pub/Regression/html/Regression-solarized.html index dec343182..6e60d8da1 100644 --- a/doc/pub/Regression/html/Regression-solarized.html +++ b/doc/pub/Regression/html/Regression-solarized.html @@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis @@ -59,17 +59,35 @@ div { text-align: justify; text-justify: inter-word; } + + + + + + + -

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    Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis

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    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

    -

    Sep 20, 2017

    +

    Oct 11, 2017












    -

    Introduction

    +

    Regression analysis, overarching aims

    +

    +Regression modeling deals with the description of the sampling distribution of a given random variable \( y \) varies as function of another variable or a set of such variables \( \hat{x} =[x_0, x_1,\dots, x_p] \). +The first variable is called the dependent, the outcome or the response variable while the set of variables \( \hat{x} \) is called the independent variable, or the predictor variable or the explanatory variable. + +

    +A regression model aims at finding a likelihood function \( p(y\vert \hat{x}) \), that is the conditional distribution for \( y \) with a given \( \hat{x} \). The estimation of \( p(y\vert \hat{x}) \) is made using a data set with + +

      +
    • \( n \) cases \( i = 0, 1, 2, \dots, n-1 \)
      • +
    • Response (dependent or outcome) variable \( y_i \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +
    • \( p \) Explanatory (independent or predictor) variables \( \hat{x}_i=[x_{i0}, x_{i1}, \dots, x_{ip}] \) with \( i = 0, 1, 2, \dots, n-1 \)
      • +
    + + The goal of the regression analysis is to extract/exploit relationship between \( y_i \) and \( \hat{x}_i \) in or to infer causal dependencies, approximations to the likelihood functions, functional relationships and to make predictions . +
    + + +

    +









    + +

    General linear models

    +
    + +

    +more text to come +

    diff --git a/doc/pub/Regression/html/Regression.html b/doc/pub/Regression/html/Regression.html index 3f985f456..9476a5962 100644 --- a/doc/pub/Regression/html/Regression.html +++ b/doc/pub/Regression/html/Regression.html @@ -6,9 +6,9 @@ Automatically generated HTML file from DocOnce source - + -Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis +Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis