Changes between Version 10 and Version 11 of BysVecLinReg

Timestamp:

Nov 11, 2010, 7:09:24 PM (14 years ago)

Author:

lcereceda

Comment:

--

BysVecLinReg

@@ -31 +31 @@
    [[LatexEquation(y_{n} )]] 
  
-All residuals inside the same row are incorrelated normal, but resiudals in 
+All residuals inside the same row are incorrelated normal, but residuals in 
 the same column [[LatexEquation(j)]] are [[BR]] 
 
@@ -39 +39 @@
 same for each column.[[BR]]
 
-Minka defines also the known data pair [[LatexEquation(D = left(Y,Xright))]] 
+Minka defines also the known data pair [[LatexEquation(D = \left(Y,X \right))]] 
 that will be used just to get more compact conditioninig expressions.
 
@@ -50 +50 @@
 [[LatexEquation(\Omega = \left\{ A\in\mathbb{R}^{d\times m} \mid F\left(A\right) \le 0 \right\})]] [[BR]] 
 
-being [[BR]]
+with [[BR]]
 
 [[LatexEquation( F\left(A\right):\mathbb{R}^{d\times m}\longrightarrow\mathbb{R}^{r} )]]  [[BR]]
 
-the arbitrary constraining function. [[BR]]
+being the arbitrary constraining function. [[BR]]
 
 == Invariant-scale prior over coefficient matrix ==
 
-Although Minka not explicitly stated in any place, under the invariant prior
+Although Minka does not explicitly state this, from the invariant prior it
 follows that [[LatexEquation(X)]] must be full-rank [[LatexEquation(m <= N)]]
 because [[LatexEquation(X W X ^ T)]] must be nonsingular with
@@ -64 +64 @@
 scale-invariant parameter governing the prior and estimated more
 forward to maximize the evidence of the data, which depends on the assumptions
-the model.
+of the model.
 
 == Inverse Wishart prior over covariance matrix ==