starting to wrap up regression analysis slides

doc/src/Regression/Regression.do.txt

@@ -1,11 +1,26 @@
-TITLE: Data Analysis and Machine Learning: Linear and more Advanced Regression Analysis
+TITLE: Data Analysis and Machine Learning: Linear Regression and more Advanced Regression Analysis
 AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
 DATE: today
 
 
 !split
-===== Introduction  =====
+===== Regression analysis, overarching aims  =====
 !bblock
 
+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 .
 !eblock
 
+
+!split
+===== General linear models  =====
+!bblock
+more text to come
+
+!eblock

doc/src/Regression/make.sh

@@ -47,7 +47,7 @@ system doconce format html $name --html_style=bootstrap --pygments_html_style=de
 system doconce split_html $html.html --method=split --pagination --nav_button=bottom
 
 # IPython notebook
-system doconce format ipynb $name $opt
+#system doconce format ipynb $name $opt
 
 # LaTeX Beamer slides
 beamertheme=red_plain