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Statistical and stochastic analysis of sequence data
Ming Ming CHIU
, Peter REIMANN
Department of Special Education and Counselling (SEC)
Research output
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Chapter in Book/Report/Conference proceeding
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Keyphrases
Automization
50%
Computational Modeling
50%
Copyright
50%
Deterministic Processes
50%
Dynamic Bayesian Model
50%
Event Attributes
50%
Event Sequences
50%
Hidden Markov Model
50%
Process of Process Modeling
50%
Quantitative Methods
100%
Sequence Analysis
100%
Sequence Data
100%
Spatio-temporal Data
50%
Springer Nature
50%
Statistical Analysis
100%
Statistical Discourse Analysis
50%
Statistical Methods
100%
Stochastic Analysis
100%
Stochastic Methods
50%
Stochastic Modeling
50%
Stochastic Processes
50%
Switzerland
50%
Temporal Analysis
50%
Earth and Planetary Sciences
Computational Modeling
100%
Hidden Markov Model
100%
Stochastic Modeling
100%
Switzerland
100%
Temporal Analysis
100%
Computer Science
Bayesian Model
100%
Computational Modeling
100%
Discourse Analysis
100%
Stochastic Analysis
100%
Temporal Data
100%
Social Sciences
Bayesian
33%
Computer Simulation
33%
Computer-Supported Collaborative Learning
66%
Discourse Analysis
33%
Hidden Markov Model
33%
Quantitative Method
66%
Stochastic Modeling
33%
Stochastics
100%
Switzerland
33%
Mathematics
Bayesian Model
25%
Computer Simulation
25%
Hidden Markov Model
25%
Statistical Analysis
25%
Statistical Method
25%
Stochastics
100%
Chemical Engineering
Computer Simulation
100%