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avehtari · Feb 1, 2017 · 582d38e · 582d38e
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diff --git a/demos_ch2/demo2_1.R b/demos_ch2/demo2_1.R
@@ -2,6 +2,7 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Probability of a girl birth given placenta previa (BDA3 p. 37).
 # 437 girls and 543 boys have been observed. Calculate and plot the
 # posterior distribution of the proportion of girls theta, using
 # uniform prior on theta

diff --git a/demos_ch2/demo2_2.R b/demos_ch2/demo2_2.R
@@ -2,6 +2,7 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Probability of a girl birth given placenta previa (BDA3 p. 37).
 # Illustrate the effect of prior.
 # Comparison of posterior distributions with different
 # parameter values for the beta prior distribution.

diff --git a/demos_ch2/demo2_3.R b/demos_ch2/demo2_3.R
@@ -2,6 +2,7 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Probability of a girl birth given placenta previa (BDA3 p. 37).
 # Simulate samples from Beta(438,544), draw a histogram with
 # quantiles, and do the same for a transformed variable.
 

diff --git a/demos_ch2/demo2_4.R b/demos_ch2/demo2_4.R
@@ -2,6 +2,7 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Probability of a girl birth given placenta previa (BDA3 p. 37).
 # Calculate the posterior distribution on a discrete grid of points by
 # multiplying the likelihood and a non-conjugate prior at each point,
 # and normalizing over the points. Simulate samples from the resulting
@@ -92,4 +93,3 @@ p3 <- ggplot() +
 
 # combine the plots
 grid.arrange(p1, p2, p3)
-
diff --git a/demos_ch3/demo3_1_4.R b/demos_ch3/demo3_1_4.R
@@ -2,6 +2,10 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Examples and illustrations for a normal model with unknown mean and
+# variance (BDA3 section 3.2 on p. 64).
+# Multivariate joint distribution, conditional distribution, marginal
+# distribution, marginalization and posterior predictive distribution
 # R versions of demos 3_1-3_4 combined into one demo
 # like iPython notebook versions
 

diff --git a/demos_ch3/demo3_5.R b/demos_ch3/demo3_5.R
@@ -2,6 +2,7 @@
 # Aki Vehtari <Aki.Vehtari@aalto.fi>
 # Markus Paasiniemi <Markus.Paasiniemi@aalto.fi>
 
+# Estimating the speed of light using normal model BDA3 p. 66
 library(ggplot2)
 library(gridExtra)
 library(tidyr)