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hidden markov model - multivariate autoregressive (hmm-mar) matlab toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc hidden markov model - multivariate autoregressive (hmm-mar) matlab toolbox
    Hidden Markov Model Multivariate Autoregressive (Hmm Mar) Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/multivariate+toolbox/pm40419788-67-3-10
    Average 90 stars, based on 1 article reviews
    hidden markov model - multivariate autoregressive (hmm-mar) matlab toolbox - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Standard Deviation:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Activation Assay:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Functional Assay:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Labeling:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Sequencing:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Activity Assay:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Comparison:

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of the HMM, running 500 cycles.

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox ( https://github.com/OHBA-analysis/HMM-MAR ) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy .

    Article Title: Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach
    Article Snippet: We used the Hidden Markov Model-Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB ( https://github.com/OHBA-analysis/HMM-MAR ) to perform variational Bayes inversion of HMM with 500 cycles to define states by multivariate Gaussian distribution, the finite number of states should be set as a prior in the model [ ].

    Article Title: Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.
    Article Snippet: We used the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) MATLAB toolbox (https://github.com/OHBA-analysis/HMM-MAR) to perform 1000 Variational Bayes inference and chose the model fit with the lowest free energy20.

    Article Title: Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model.
    Article Snippet: We utilized the Hidden Markov Model - Multivariate Autoregressive (HMM-MAR) toolbox implemented in MATLAB (available at https://github.com/OHBA-analysis/HMM-MAR) to perform variational Bayes inversion of the HMM, running 500 cycles.



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