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mHMMbayes v.1.0.0
Emmeke Aarts
, Sebastian Mildiner Moraga
Methodology and Statistics
Chair Klugkist
Research output
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Non-textual form
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Keyphrases
Hidden Markov Model
100%
Bayesian Estimation
33%
Longitudinal Data
16%
Random Effects
16%
Missing Data
16%
Transition Probability Matrix
16%
Group Comparison
16%
Multi-level Framework
16%
Mixed Effects
16%
Matrix Distribution
16%
Multivariate Data
16%
State Sequences
16%
Viterbi Algorithm
16%
Conditional Distribution
16%
Metropolis-Hastings Sampler
16%
Hidden States
16%
Forward-backward Recursion
16%
Mathematics
Hidden Markov Models
100%
Bayesian Estimation
33%
Bayesian
16%
Level Covariates
16%
Conditional Distribution
16%
Multivariate Data
16%
Gibbs Sampler
16%
Hidden State
16%
Gaussian Distribution
16%
TPM
16%
Dependent Variable
16%
Longitudinal Data
16%
Random Effect
16%
Viterbi Algorithm
16%