Changes between Version 20 and Version 21 of OfficialTolArchiveNetworkGrzLinModel

Timestamp:

Jun 10, 2011, 3:56:48 PM (14 years ago)

Author:

Víctor de Buen Remiro

Comment:

--

OfficialTolArchiveNetworkGrzLinModel

@@ -4 +4 @@
 
 Max-likelihood and bayesian estimation of 
-[http://en.wikipedia.org/wiki/Generalized_linear_model generalized linear models] with scalar 
+[http://en.wikipedia.org/wiki/Generalized_linear_model generalized linear models] with 
 prior information and constraining linear inequations.
 
@@ -71 +71 @@
   [[LatexEquation( \frac{\partial L\left(\beta\right)}{\partial\beta_{i}\partial\beta_{j}}=\underset{k}{\sum}w_{k}\frac{\partial^{2}\ln f_{k}}{\partial\eta_{k}^{2}}x_{ik}x_{jk} )]] 
 
-This class also implements these common features
- * scalar prior information of type normal or uniform, truncated or not in both cases, and 
+This class also implements these common features extending the generalized linear model class:
  * linear constraining inequations over linear parameters [[BR]][[BR]]
-   [[LatexEquation( A \beta \ge a )]]
+   [[LatexEquation( A \beta \ge a )]] [[BR]]
+ * scalar prior information of type normal or uniform, truncated or not in both cases, [[BR]][[BR]]
+   [[LatexEquation( \beta_i \sim N\left(\mu_{i},\sigma^2_{i}\right) )]] [[BR]][[BR]]
+   [[LatexEquation( l_i \le \beta_i \le u_i )]][[BR]]
+ * vectorial normal prior information (''not implemented'') [[BR]][[BR]]
+   [[LatexEquation( C\beta \sim N\left(\mu_{C},\Sigma_{C}\right) )]][[BR]]
 
 === Weighted Normal Regresion ===