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Conference Paper: Markov Chains: Models and Applications
| Title | Markov Chains: Models and Applications |
|---|---|
| Other Titles | Markov chain models: computations and applications |
| Authors | |
| Issue Date | 2016 |
| Publisher | International Congress of Chinese Mathematicians. |
| Citation | The 7th International Congress of Chinese Mathematicians (ICCM 2016), Beijing, China, 7-11 August 2016: Program and Abstracts, p. 58 How to Cite? |
| Abstract | Markov chain models are popular mathematical tools for studying many different kinds of real world systems such as queueing networks (continuous time) and categorical data sequences (discrete time). In this talk, I shall first present some efficient numerical algorithms for solving Markovian queueing networks. I shall then introduce some other parsimonious high-order and multivariate Markov chain models for categorical sequences with applications. Efficient estimation methods for solving the model parameters will also be discussed. Practical problems and numerical examples will then be given to
demonstrate the effectiveness of our proposed models. |
| Description | Session 3 Invited Lectures: 3.8 Group 8: Numerical Analysis, Scientific Computing, Imaging, Bio-Mathematics, Machine Learning, Probability, Statistical Theory and Method, Application of Statistics -- 45 Minutes Talk |
| Persistent Identifier | http://hdl.handle.net/10722/239001 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ching, WK | - |
| dc.date.accessioned | 2017-02-27T09:06:24Z | - |
| dc.date.available | 2017-02-27T09:06:24Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | The 7th International Congress of Chinese Mathematicians (ICCM 2016), Beijing, China, 7-11 August 2016: Program and Abstracts, p. 58 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/239001 | - |
| dc.description | Session 3 Invited Lectures: 3.8 Group 8: Numerical Analysis, Scientific Computing, Imaging, Bio-Mathematics, Machine Learning, Probability, Statistical Theory and Method, Application of Statistics -- 45 Minutes Talk | - |
| dc.description.abstract | Markov chain models are popular mathematical tools for studying many different kinds of real world systems such as queueing networks (continuous time) and categorical data sequences (discrete time). In this talk, I shall first present some efficient numerical algorithms for solving Markovian queueing networks. I shall then introduce some other parsimonious high-order and multivariate Markov chain models for categorical sequences with applications. Efficient estimation methods for solving the model parameters will also be discussed. Practical problems and numerical examples will then be given to demonstrate the effectiveness of our proposed models. | - |
| dc.language | eng | - |
| dc.publisher | International Congress of Chinese Mathematicians. | - |
| dc.relation.ispartof | The 7th International Congress of Chinese Mathematicians (ICCM 2016) | - |
| dc.title | Markov Chains: Models and Applications | - |
| dc.title.alternative | Markov chain models: computations and applications | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Ching, WK: wching@hku.hk | - |
| dc.identifier.authority | Ching, WK=rp00679 | - |
| dc.identifier.hkuros | 262446 | - |
| dc.identifier.spage | 58 | - |
| dc.identifier.epage | 58 | - |
| dc.publisher.place | China | - |