Home
last modified time | relevance | path

Searched refs:Markov (Results 101 – 125 of 1012) sorted by relevance

12345678910>>...41

/dports/science/dynare/dynare-4.6.4/tests/ms-sbvar/archive-files/
H A Dspecification_2v2c.dat2 /********************* Markov State Variable Information **********************/
5 //== Flat Independent Markov States and Simple Restrictions ==//
/dports/biology/hmmer/hmmer-3.3/documentation/userguide/
H A Dtitlepage.tex.in3 \subtitle{Biological sequence analysis using profile hidden Markov models}
H A Dtitlepage_daemon.tex.in3 \subtitle{High-performance biological sequence analysis using profile hidden Markov models}
/dports/biology/infernal/infernal-1.1.3/hmmer/documentation/userguide/
H A Dtitlepage.tex.in3 \subtitle{Biological sequence analysis using profile hidden Markov models}
H A Dtitlepage_daemon.tex.in3 \subtitle{High-performance biological sequence analysis using profile hidden Markov models}
/dports/science/ghmm/ghmm-0.9-rc3/doc/
H A Dxml_data_structure.fig18 4 0 0 100 0 16 12 0.0000 4 135 1140 3885 4589 Markov Chain\001
/dports/science/InsightToolkit/ITK-5.0.1/Modules/Segmentation/MarkovRandomFieldsClassifiers/
H A Ditk-module.cmake1 set(DOCUMENTATION "This module contains classes to perform Markov Random Field
/dports/devel/p5-Algorithm-MarkovChain/Algorithm-MarkovChain-0.06/
H A DMETA.yml6 abstract: Object oriented Markov chain generator
/dports/biology/migrate/migrate-3.6.11/example/
H A Doutfile-bayes5 using Markov Chain Monte Carlo simulation
63 Markov chain settings:
H A Doutfile-bayes-saved5 using Markov Chain Monte Carlo simulation
48 Markov chain settings:
/dports/math/R-cran-MCMCpack/MCMCpack/man/
H A DHMMpanelRE.Rd5 \title{Markov Chain Monte Carlo for the Hidden Markov Random-effects Model}
150 the hidden Markov random-effects model discussed in Park (2011).
163 \code{HMMpanelRE} simulates from the random-effect hidden Markov
260 Cross-Sectional Heterogeneity: Introducing Hidden Markov Panel
269 ``MCMCpack: Markov Chain Monte Carlo in R.'', \emph{Journal of
H A DMCMCregressChange.Rd5 \title{Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model}
114 (SOS). SOS is a sign of overfitting in non-ergodic hidden Markov models.}
136 Gaussian model with multiple changepoints. The function uses the Markov
220 Cross-Sectional Heterogeneity: Introducing Hidden Markov Panel
237 ``MCMCpack: Markov Chain Monte Carlo in R.'', \emph{Journal of
/dports/math/R-cran-Zelig/Zelig/man/
H A DZelig-oprobit-bayes-class.Rd66 \item \code{thin}: thinning interval for the Markov chain. Only every thin-th draw from
67 the Markov chain is kept. The value of mcmc must be divisible by this value. The default
73 \item \code{beta.start}: starting values for the Markov chain, either a scalar or vector
H A DZelig-logit-bayes-class.Rd64 \item \code{thin}: thinning interval for the Markov chain. Only every thin-th draw from
65 the Markov chain is kept. The value of mcmc must be divisible by this value. The default
71 \item \code{beta.start}: starting values for the Markov chain, either a scalar or vector
/dports/math/stan/stan-2.28.2/src/doxygen/
H A Dstan.dox26 * Markov chain Monte Carlo samplers.
/dports/math/R-cran-MSwM/MSwM/vignettes/
H A Dexamples.rnw29 …Next, Markov Switching Models are fitted to a real dataset with a discrete response variable. The …
84 Next, a Autoregressive Markov Switching Model (MSM-AR) is fitted to the data. The order for the aut…
151 We illustrate the use of a Generalized Markov Switching Model in this case because there exists a d…
169 In the next step, the Markov Switching Model is fitted using \texttt{msmFit}. To fit a Generalized …
/dports/math/R-cran-MSwM/MSwM/inst/doc/
H A Dexamples.rnw29 …Next, Markov Switching Models are fitted to a real dataset with a discrete response variable. The …
84 Next, a Autoregressive Markov Switching Model (MSM-AR) is fitted to the data. The order for the aut…
151 We illustrate the use of a Generalized Markov Switching Model in this case because there exists a d…
169 In the next step, the Markov Switching Model is fitted using \texttt{msmFit}. To fit a Generalized …
/dports/math/octave-forge-statistics/statistics-1.4.3/inst/
H A Dmhsample.m36 ## Markov chain. Each row is the starting point of a different chain and each
40 ## @var{nsamples} is the number of samples, the length of each Markov chain.
99 ## generated Markov chain. The default is 1.
102 ## "nchain" @var{nchain}: the number of Markov chains to generate. The default
113 ## corresponds to different Markov chains.
/dports/math/octave-forge-queueing/queueing/inst/
H A Dctmcbd.m22 ## @cindex Markov chain, continuous time
23 ## @cindex continuous time Markov chain
H A Ddtmctaexps.m24 ## @cindex discrete time Markov chain
25 ## @cindex Markov chain, discrete time
H A Ddtmcbd.m22 ## @cindex Markov chain, discrete time
24 ## @cindex discrete time Markov chain
/dports/math/R-cran-RHmm/RHmm/
H A DDESCRIPTION4 Title: Hidden Markov Models simulations and estimations
/dports/biology/hyphy/hyphy-2.5.33/res/TemplateBatchFiles/TemplateModels/
H A DmodelParameters2.mdl10 …is estimated; rates at adjacent sites are correlated via a simple Hidden Markov model with an auto…
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/docs/KeywordMetadata/
H A Dmethod-bayes_calibration-wasabi4 Offers an alternative to Markov Chain Monte Carlo-based Bayesian
/dports/math/R-cran-coda/coda/man/
H A Dcrosscorr.Rd12 variables in Markov Chain Monte Carlo output. If \code{x}

12345678910>>...41