[Pomp-commits] r274 - www/content

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

Author: kingaa
Date: 2010-06-24 17:01:26 +0200 (Thu, 24 Jun 2010)
New Revision: 274

Modified:
   www/content/about.htm
Log:


Modified: www/content/about.htm
===================================================================
--- www/content/about.htm	2010-06-24 14:55:12 UTC (rev 273)
+++ www/content/about.htm	2010-06-24 15:01:26 UTC (rev 274)
@@ -1,7 +1,17 @@
 <p><strong>pomp</strong> provides a very general realization of nonlinear partially-observed Markov processes (AKA state-space models, nonlinear stochastic dynamical systems). One specifies a model's process and measurement components; the package uses these functions in algorithms to simulate, analyze, and fit the model to data.</p>
 
-<p>At the moment, algorithms are provided for basic <strong>particle filtering</strong> (AKA sequential importance sampling or sequential Monte Carlo), <strong>trajectory matching</strong>, the <strong>approximate Bayesian sequential Monte Carlo algorithm of Liu &amp; West (2001)</strong>, the <strong>likelihood maximization by iterated filtering (MIF)</strong> method of Ionides, Breto, and King (PNAS, 103:18438-18443, 2006), and the <strong>nonlinear forecasting</strong> method of Ellner and Kendall. Future support for a variety of other algorithms is envisioned. A working group of the <a href="http://nceas.ucsb.edu">National&nbsp;Center&nbsp;for&nbsp;Ecological&nbsp;Analysis&nbsp;and&nbsp;Synthesis&nbsp;(NCEAS)</a>, "Inference for Mechanistic Models", is currently implementing additional methods for this package.</p>
+<p>At the moment, support is provided for</p>
 
+<ul>
+  <li>basic particle filtering (AKA sequential importance sampling or sequential Monte Carlo),</li>
+
+  <li>trajectory matching, the approximate Bayesian sequential Monte Carlo algorithm of Liu &amp; West (2001),</li>
+
+  <li>the iterated filtering method of Ionides, Breto, and King (2006), and</li>
+
+  <li>the nonlinear forecasting method of Ellner and Kendall.</li>
+</ul>Future support for a variety of other algorithms is envisioned. A working group of the <a href="http://nceas.ucsb.edu">National&nbsp;Center&nbsp;for&nbsp;Ecological&nbsp;Analysis&nbsp;and&nbsp;Synthesis&nbsp;(NCEAS)</a>, "Inference for Mechanistic Models", is currently implementing additional methods for this package.
+
 <p>Simple worked examples are provided in <a href="http://cran.at.r-project.org/web/packages/pomp/vignettes/">vignettes</a> and in the <tt>examples</tt> directory of the installed package.</p>
 
 <p>The package is provided under the GPL. Contributions are welcome, as are comments, suggestions, examples, and bug reports. Please send these to <tt>kingaa at umich dot edu</tt>.</p>