[Pomp-commits] r542 - pkg/inst/doc

[noreply at r-forge.r-project.org]

Author: kingaa
Date: 2011-08-17 19:34:10 +0200 (Wed, 17 Aug 2011)
New Revision: 542

Modified:
   pkg/inst/doc/advanced_topics_in_pomp.pdf
   pkg/inst/doc/intro_to_pomp.pdf
   pkg/inst/doc/pomp.bib
   pkg/inst/doc/ricker-probe-plot.jpg
Log:
- update reference in intro vignette


Modified: pkg/inst/doc/advanced_topics_in_pomp.pdf
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Modified: pkg/inst/doc/intro_to_pomp.pdf
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Modified: pkg/inst/doc/pomp.bib
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--- pkg/inst/doc/pomp.bib	2011-08-17 15:16:22 UTC (rev 541)
+++ pkg/inst/doc/pomp.bib	2011-08-17 17:34:10 UTC (rev 542)
@@ -217,9 +217,12 @@
 
 @ARTICLE{Ionides2011,
   author = {E. L. Ionides and A. Bhadra and Y. Atchad{\'e} and A. A. King},
-  title = {{I}terated filtering},
+  title = {Iterated filtering},
   journal = {Annals of Statistics},
-  year = {in press},
+  year = {2011},
+  volume = {39},
+  pages = {1776--1802},
+  number = {3},
   abstract = {Inference for partially observed Markov process models has been a
 	longstanding methodological challenge with many scientific and engineering
 	applications. Iterated filtering algorithms maximize the likelihood
@@ -234,7 +237,11 @@
 	of a latent variable model, when this likelihood is evaluated via
 	importance sampling. This leads to the consideration of an iterated
 	importance sampling algorithm which serves as a simple special case
-	of iterated filtering, and may have applicability in its own right.}
+	of iterated filtering, and may have applicability in its own right.},
+  doi = {10.1214/11-AOS886},
+  file = {Ionides2011.pdf:Ionides2011.pdf:PDF},
+  owner = {kingaa},
+  timestamp = {2011.03.07}
 }
 
 @ARTICLE{Ionides2006,

Modified: pkg/inst/doc/ricker-probe-plot.jpg
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