Displaying 5 results from an estimated 5 matches for "besag".
Did you mean:
besan
2005 Sep 23
4
books about MCMC to use MCMC R packages?
Dear list users,
I need to learn about MCMC methods, and since there are several packages in
R that deal with this subject, I want to use them.
I want to buy a book (or more than one, if necessary) that satisfies the
following requirements:
- it teaches well MCMC methods;
- it is easy to implement numerically the ideas of the book, and notation
and concepts are similar to the corresponding R
2004 Mar 10
0
New package: DCluster
...f clusters of disease.
It includes methods to test Poisson extra-variation (Chi-square test and
Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and
Geary's c), general clustering (Whittermore's statistic and Tango's
statistic), scan methods (Openshaw's GAM, Besag & Newell's methods and
Kulldorff & Nagarwalla's statistic) and a focused test (Stone's Test).
Bootstrap is used to estimate significance and a number of models are
proposed to simulate data: permutations and Poisson, Multinomial or Neg.
Binomial distributions.
I hope the packa...
2003 Oct 13
1
Pre-release of package DCluster available
Hi,
I have just put the source code (and a zip file for Window$ users) of
package DCluster in my website:
http://matheron.estadi.uv.es/~virgil/Rpackages/DCluster/
DCluster is a package that contains routines for the detection of
spatial clusters of diseases (Openshaw's GAM, Besag and Newell,
Kulldorff and Nagarwalla, Stone's Test and others).
A full description can be found here:
http://www.ci.tuwien.ac.at/Conferences/DSC-2003/Proceedings/GomezRubioEtAl.pdf
The purpose of this pre-release is to get feedback from the users. I'm
sure there are still bugs in the co...
2004 Mar 10
0
New package: DCluster
...f clusters of disease.
It includes methods to test Poisson extra-variation (Chi-square test and
Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and
Geary's c), general clustering (Whittermore's statistic and Tango's
statistic), scan methods (Openshaw's GAM, Besag & Newell's methods and
Kulldorff & Nagarwalla's statistic) and a focused test (Stone's Test).
Bootstrap is used to estimate significance and a number of models are
proposed to simulate data: permutations and Poisson, Multinomial or Neg.
Binomial distributions.
I hope the packa...
2005 Jan 27
0
Request for help (reference details)
I referred in my reply to a paper by Diaconis and Sturmfels. The exact
reference is:
Diaconis and Sturmfels, Algebraic algorithms for sampling from conditional
distributions, Ann. Stat 26 (1998) 363-397.
They cite the following:
Besag and Clifford, Generalized Monte Carlo significance tests, Biometrika
76 (1989) 633-42.
which actually contains your problem (section 3, Testing the Rasch model)
and gives a very simple Markov chain for sampling from the uniform
distribution on these matrices. If you need other than the uniform
dis...