[Depmix-commits] r356 - papers/individual

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Mon Feb 22 20:58:49 CET 2010


Author: ingmarvisser
Date: 2010-02-22 20:58:48 +0100 (Mon, 22 Feb 2010)
New Revision: 356

Added:
   papers/individual/Review of Visser chapter.doc
   papers/individual/abstract.txt
   papers/individual/address.doc
   papers/individual/igt4.pdf
   papers/individual/individual.doc
   papers/individual/individual1.doc
   papers/individual/post4.pdf
Log:
individual series book chapter

Added: papers/individual/Review of Visser chapter.doc
===================================================================
(Binary files differ)


Property changes on: papers/individual/Review of Visser chapter.doc
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream

Added: papers/individual/abstract.txt
===================================================================
--- papers/individual/abstract.txt	                        (rev 0)
+++ papers/individual/abstract.txt	2010-02-22 19:58:48 UTC (rev 356)
@@ -0,0 +1,24 @@
+
+Title: A Framework for Modelling Discrete Change
+
+Author: Ingmar Visser
+
+
+Abstract
+
+A class of models is developed for measuring and detecting discrete change
+in learning and development.  The basic model for detecting such change is
+the latent or hidden Markov model.  Traditionally, these models were
+restricted to categorical, mostly binary, observed variables, placing
+severe restrictions on possible measurement models.  In this paper, the
+basic model is extended to include arbitrary distributions for the observed
+variables, including multi-variate distributions.  Moreover, there is
+optional support to include time-varying predictors.  In effect, this model
+consists of mixtures of general linear models with Markovian depencies over
+time to model the change process.  In addition, transition parameters can
+be made to depend on covariates as well, such that the switching regime
+between states depends on characteristics of the individual or the
+experimental situation.  The model is illustrated with several examples
+from experimental psychology and categorization learning.
+
+


Property changes on: papers/individual/abstract.txt
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:eol-style
   + native

Added: papers/individual/address.doc
===================================================================
(Binary files differ)


Property changes on: papers/individual/address.doc
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream

Added: papers/individual/igt4.pdf
===================================================================
(Binary files differ)


Property changes on: papers/individual/igt4.pdf
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream

Added: papers/individual/individual.doc
===================================================================
(Binary files differ)


Property changes on: papers/individual/individual.doc
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream

Added: papers/individual/individual1.doc
===================================================================
(Binary files differ)


Property changes on: papers/individual/individual1.doc
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream

Added: papers/individual/post4.pdf
===================================================================
(Binary files differ)


Property changes on: papers/individual/post4.pdf
___________________________________________________________________
Name: svn:executable
   + *
Name: svn:mime-type
   + application/octet-stream



More information about the depmix-commits mailing list