diff --git a/doc/pub/week36/html/week36-bs.html b/doc/pub/week36/html/week36-bs.html index 8c7aea937..909936c71 100644 --- a/doc/pub/week36/html/week36-bs.html +++ b/doc/pub/week36/html/week36-bs.html @@ -111,6 +111,7 @@ Automatically generated HTML file from DocOnce source 2, None, 'another-example-now-with-a-polynomial-fit'), + ('Friday September 10', 2, None, 'friday-september-10'), ('Linking the regression analysis with a statistical ' 'interpretation', 2, @@ -145,7 +146,6 @@ Automatically generated HTML file from DocOnce source ('Marginal Probability', 2, None, 'marginal-probability'), ('Conditional Probability', 2, None, 'conditional-probability'), ("Bayes' Theorem", 2, None, 'bayes-theorem'), - ('Frliday September 10', 2, None, 'frliday-september-10'), ('Why resampling methods', 2, None, 'why-resampling-methods'), ('Resampling methods', 2, None, 'resampling-methods'), ('Resampling approaches can be computationally expensive', @@ -298,19 +298,19 @@ MathJax.Hub.Config({
  • Simple code for solving the above problem
  • With Lasso Regression
  • Another Example, now with a polynomial fit
  • -
  • Linking the regression analysis with a statistical interpretation
  • -
  • Assumptions made
  • -
  • Expectation value and variance
  • -
  • Expectation value and variance for \( \boldsymbol{\beta} \)
  • -
  • Deriving OLS from a probability distribution
  • -
  • Independent and Identically Distrubuted (iid)
  • -
  • Maximum Likelihood Estimation (MLE)
  • -
  • A new Cost Function
  • -
  • More basic Statistics and Bayes' theorem
  • -
  • Marginal Probability
  • -
  • Conditional Probability
  • -
  • Bayes' Theorem
  • -
  • Frliday September 10
  • +
  • Friday September 10
  • +
  • Linking the regression analysis with a statistical interpretation
  • +
  • Assumptions made
  • +
  • Expectation value and variance
  • +
  • Expectation value and variance for \( \boldsymbol{\beta} \)
  • +
  • Deriving OLS from a probability distribution
  • +
  • Independent and Identically Distrubuted (iid)
  • +
  • Maximum Likelihood Estimation (MLE)
  • +
  • A new Cost Function
  • +
  • More basic Statistics and Bayes' theorem
  • +
  • Marginal Probability
  • +
  • Conditional Probability
  • +
  • Bayes' Theorem
  • Why resampling methods
  • Resampling methods
  • Resampling approaches can be computationally expensive
  • diff --git a/doc/pub/week36/html/week36-reveal.html b/doc/pub/week36/html/week36-reveal.html index b85742573..f7d95d300 100644 --- a/doc/pub/week36/html/week36-reveal.html +++ b/doc/pub/week36/html/week36-reveal.html @@ -1188,6 +1188,11 @@ plt.show() +
    +

    Friday September 10

    +
    + +

    Linking the regression analysis with a statistical interpretation

    @@ -1611,14 +1616,6 @@ which is Bayes' theorem. More text to be added here by Friday September 10.
    -
    -

    Frliday September 10

    - -

    -Depending on where we end on Thursday September 9, we will revise the material for Friday. On Friday we will also discuss project 1. -

    - -

    Why resampling methods

    diff --git a/doc/pub/week36/html/week36-solarized.html b/doc/pub/week36/html/week36-solarized.html index 0786fd9e2..d0013236e 100644 --- a/doc/pub/week36/html/week36-solarized.html +++ b/doc/pub/week36/html/week36-solarized.html @@ -131,6 +131,7 @@ div { text-align: justify; text-justify: inter-word; } 2, None, 'another-example-now-with-a-polynomial-fit'), + ('Friday September 10', 2, None, 'friday-september-10'), ('Linking the regression analysis with a statistical ' 'interpretation', 2, @@ -165,7 +166,6 @@ div { text-align: justify; text-justify: inter-word; } ('Marginal Probability', 2, None, 'marginal-probability'), ('Conditional Probability', 2, None, 'conditional-probability'), ("Bayes' Theorem", 2, None, 'bayes-theorem'), - ('Frliday September 10', 2, None, 'frliday-september-10'), ('Why resampling methods', 2, None, 'why-resampling-methods'), ('Resampling methods', 2, None, 'resampling-methods'), ('Resampling approaches can be computationally expensive', @@ -1207,6 +1207,11 @@ plt.ylabel('MSE') plt.legend() plt.show() +

    +









    + +

    Friday September 10

    +

    @@ -1595,14 +1600,6 @@ which is Bayes' theorem. More text to be added here by Friday September 10.











    -

    Frliday September 10

    - -

    -Depending on where we end on Thursday September 9, we will revise the material for Friday. On Friday we will also discuss project 1. - -

    -









    -

    Why resampling methods

    diff --git a/doc/pub/week36/html/week36.html b/doc/pub/week36/html/week36.html index 99b7d962f..d2f112130 100644 --- a/doc/pub/week36/html/week36.html +++ b/doc/pub/week36/html/week36.html @@ -136,6 +136,7 @@ div { text-align: justify; text-justify: inter-word; } 2, None, 'another-example-now-with-a-polynomial-fit'), + ('Friday September 10', 2, None, 'friday-september-10'), ('Linking the regression analysis with a statistical ' 'interpretation', 2, @@ -170,7 +171,6 @@ div { text-align: justify; text-justify: inter-word; } ('Marginal Probability', 2, None, 'marginal-probability'), ('Conditional Probability', 2, None, 'conditional-probability'), ("Bayes' Theorem", 2, None, 'bayes-theorem'), - ('Frliday September 10', 2, None, 'frliday-september-10'), ('Why resampling methods', 2, None, 'why-resampling-methods'), ('Resampling methods', 2, None, 'resampling-methods'), ('Resampling approaches can be computationally expensive', @@ -1212,6 +1212,11 @@ plt.ylabel(' plt.legend() plt.show() +

    +









    + +

    Friday September 10

    +

    @@ -1600,14 +1605,6 @@ which is Bayes' theorem. More text to be added here by Friday September 10.











    -

    Frliday September 10

    - -

    -Depending on where we end on Thursday September 9, we will revise the material for Friday. On Friday we will also discuss project 1. - -

    -









    -

    Why resampling methods

    diff --git a/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz b/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz index 8217dc872..b7a8f4e0b 100644 Binary files a/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz and b/doc/pub/week36/ipynb/ipynb-week36-src.tar.gz differ diff --git a/doc/pub/week36/ipynb/week36.ipynb b/doc/pub/week36/ipynb/week36.ipynb index 18d3f16c3..ae6216f34 100644 --- a/doc/pub/week36/ipynb/week36.ipynb +++ b/doc/pub/week36/ipynb/week36.ipynb @@ -1480,6 +1480,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "## Friday September 10\n", + "\n", + "\n", + "\n", "\n", "## Linking the regression analysis with a statistical interpretation\n", "\n", @@ -2037,9 +2041,7 @@ "which is Bayes' theorem. More text to be added here by Friday September 10.\n", "\n", "\n", - "## Frliday September 10\n", "\n", - "Depending on where we end on Thursday September 9, we will revise the material for Friday. On Friday we will also discuss project 1.\n", "\n", "\n", "## Why resampling methods\n", diff --git a/doc/src/week36/week36.do.txt b/doc/src/week36/week36.do.txt index ac81f980b..d0636d789 100644 --- a/doc/src/week36/week36.do.txt +++ b/doc/src/week36/week36.do.txt @@ -897,6 +897,11 @@ plt.show() !ec +!split +===== Friday September 10 ===== + + + !split ===== Linking the regression analysis with a statistical interpretation ===== @@ -1251,10 +1256,7 @@ p(X\vert Y)= \frac{p(X,Y)}{\sum_{i=0}^{n-1}p(Y\vert X=x_i)p(x_i)}=\frac{p(Y\vert which is Bayes' theorem. More text to be added here by Friday September 10. -!split -===== Frliday September 10 ===== -Depending on where we end on Thursday September 9, we will revise the material for Friday. On Friday we will also discuss project 1. !split