| /dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/installer/mac/third_party/xz/ |
| H A D | README.chromium | 10 modified Lempel-Ziv-Markov chain algorithm (LZMA2).
|
| /dports/x11-toolkits/py-tkinter/Python-3.8.12/Tools/demo/ |
| H A D | README | 8 markov.py Algorithms: Markov chain simulation.
|
| /dports/math/R-cran-coda/coda/man/ |
| H A D | summary.mcmc.Rd | 6 \title{Summary statistics for Markov Chain Monte Carlo chains}
|
| H A D | read.coda.interactive.Rd | 10 \code{read.coda.interactive} reads Markov Chain Monte Carlo output
|
| H A D | read.openbugs.Rd | 20 \code{read.openbugs} reads Markov Chain Monte Carlo output in
|
| /dports/math/R-cran-RHmm/RHmm/man/ |
| H A D | HMMSim.rd | 3 \title{Simulation of an Hidden Markov Model}
|
| H A D | asymptoticCov.rd | 25 …2) \emph{Exact Computation of the Observed Information Matrix for Hidden Markov Models}, Journal o…
|
| H A D | viterbi.rd | 24 Phil Blunsom (2004) \emph{ Hidden Markov Models. }
|
| /dports/math/R-cran-MSwM/MSwM/man/ |
| H A D | plot.Rd | 7 \title{ Function: plot for Markov Switching Models }
|
| H A D | intervals.Rd | 19 …\item{object}{ a fitted Markov Switching model object from which parameter estimates can be extrac…
|
| /dports/math/octave-forge-queueing/queueing/doc/ |
| H A D | README | 12 functions for steady-state and transient analysis of Markov chains, as
|
| /dports/devel/p5-Algorithm-MarkovChain/Algorithm-MarkovChain-0.06/ |
| H A D | README | 5 Algorithm::MarkovChain - Object oriented Markov chain generator
|
| /dports/math/unuran/unuran-1.8.1/doc/src/ |
| H A D | methods.dh | 122 =NODEX MCMC_Methods_for_CVEC Markov chain samplers for continuous multivariate distributions
126 Markov chain samplers generate sequences of random vectors which have
|
| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/docs/KeywordMetadata/ |
| H A D | method-bayes_calibration-queso | 2 Markov Chain Monte Carlo algorithms from the QUESO package
14 Carlo Markov Chain will generate thousands of samples on the emulator
|
| /dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/src/docs/modules/ |
| H A D | fmdp.dox | 29 * \defgroup fmdp_group Factored Markov Decision Process
|
| /dports/biology/emboss/EMBOSS-6.6.0/test/acd/ |
| H A D | knowntypes.standard | 16 … | file | "EDAM_data:1364 Hidden Markov model" | MEME backgro…
128 hmm | file | "EDAM_data: HMMER hidden Markov model" …
129 hmm_database | file | "EDAM_data: HMMER hidden Markov model datab…
131 hmm_entry_name | string | "EDAM_data: HMMER hidden Markov model ident…
132 hmmalign_output | file | "EDAM_data: HMMER hidden Markov model" …
133 hmmcalibrate_output | file | "EDAM_data: HMMER hidden Markov model" …
139 hmmer_null_model | file | "EDAM_data: HMMER NULL hidden Markov model"…
|
| /dports/science/R-cran-etm/etm/man/ |
| H A D | etm.Rd | 78 If the multistate model is not Markov, but censorship is entirely
131 non-homogeneous Markov chains based on censored
140 estimators of integrated transition hazards for non-Markov
144 non-Markov data. \emph{Biometrics}, 58: 361-368.
|
| /dports/math/openturns/openturns-1.18/python/src/ |
| H A D | SubsetSampling_doc.i.in | 49 The conditional samples are generated by the means of Markov Chains,
54 autocorrelation between Markov chain samples.
|
| /dports/math/R-cran-magic/magic/man/ |
| H A D | latin.Rd | 47 \item Function \code{rlatin()} generates a (Markov) sequence of
53 (number of Markov steps to discard).
|
| /dports/science/dynare/dynare-4.6.4/contrib/dmm/examples/ |
| H A D | NILE.NML | 43 dynSj = time series dynamics for Sj (I=Independent,M=Markov)
82 Namelist mcmc contains the Markov Chain Monte Carlo options:
|
| /dports/math/4ti2/4ti2-Release_1_6_9/src/groebner/ |
| H A D | GeneratingSet.cpp | 103 Markov algorithm; in minimal()
|
| /dports/math/octave-forge-queueing/queueing/inst/ |
| H A D | dtmcmtta.m | 27 ## @cindex discrete time Markov chain
28 ## @cindex Markov chain, discrete time
91 ## 1997). @cite{Introduction to Probability}, Ch. 11: Markov
|
| /dports/multimedia/py-mido/mido-1.2.10/docs/ |
| H A D | frozen_messages.rst | 8 Markov chains.
|
| /dports/lang/python27/Python-2.7.18/Demo/scripts/ |
| H A D | README | 12 markov.py Markov chain simulation of words or characters
|
| /dports/science/R-cran-eco/eco/ |
| H A D | DESCRIPTION | 15 (for likelihood models) or the Markov chain Monte Carlo
|