[Pomp-commits] r537 - pkg/inst/doc

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

Author: kingaa
Date: 2011-08-17 16:19:12 +0200 (Wed, 17 Aug 2011)
New Revision: 537

Modified:
   pkg/inst/doc/intro_to_pomp.Rnw
   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/intro_to_pomp.Rnw
===================================================================
--- pkg/inst/doc/intro_to_pomp.Rnw	2011-08-15 22:20:23 UTC (rev 536)
+++ pkg/inst/doc/intro_to_pomp.Rnw	2011-08-17 14:19:12 UTC (rev 537)
@@ -1733,7 +1733,7 @@
 \end{equation*}
 where $dW/dt$ is a white noise, specifically the ``derivative'' of an integrated Gamma white noise process.
 \citet{He2010} discuss such processes and apply them in an inferential context;
-Breto et al. (submitted) develop the theory of infinitesimally overdispersed processes.
+\citet{Breto2011} develop the theory of infinitesimally overdispersed processes.
 
 Let's modify the process-model simulator to incorporate these three complexities.
 <<complex-sir-def>>=

Modified: pkg/inst/doc/intro_to_pomp.pdf
===================================================================
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Modified: pkg/inst/doc/pomp.bib
===================================================================
--- pkg/inst/doc/pomp.bib	2011-08-15 22:20:23 UTC (rev 536)
+++ pkg/inst/doc/pomp.bib	2011-08-17 14:19:12 UTC (rev 537)
@@ -89,6 +89,31 @@
   timestamp = {2009.09.15}
 }
 
+ at ARTICLE{Breto2011,
+  author = {Bret{\'o}, Carles and Ionides, Edward L.},
+  title = {Compound {M}arkov counting processes and their applications to modeling
+	infinitesimally over-dispersed systems},
+  journal = {Stochastic Processes and their Applications},
+  year = {in press},
+  abstract = {We propose an infinitesimal dispersion index for Markov counting processes.
+	We show that, under standard moment existence conditions, a process
+	is infinitesimally (over-)equi-dispersed if, and only if, it is simple
+	(compound), i.e., it increases in jumps of one (or more) unit(s),
+	even though infinitesimally equi-dispersed processes might be under-,
+	equi- or over-dispersed using previously studied indices. Compound
+	processes arise, for example, when introducing continuous-time white
+	noise to the rates of simple processes resulting in L{\'e}vy-driven
+	SDEs. We construct multivariate infinitesimally over-dispersed compartment
+	models and queuing networks, suitable for applications where moment
+	constraints inherent to simple processes do not hold.},
+  doi = {10.1016/j.spa.2011.07.005},
+  issn = {0304-4149},
+  keywords = {Continuous time, Counting Markov process, Birth-death process, Environmental
+	stochasticity, Infinitesimal over-dispersion, Simultaneous events},
+  owner = {kingaa},
+  timestamp = {2011.08.17}
+}
+
 @BOOK{Davison1997,
   title = {{B}ootstrap {M}ethods and their {A}pplication},
   publisher = {Cambridge University Press},

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