search for: besag

Displaying 5 results from an estimated 5 matches for "besag".

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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...