Bayesian parameter inference for partially observed stopped processes
10.1007/s11222-012-9348-2
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sg-nus-scholar.10635-1250502024-11-15T06:26:55Z Bayesian parameter inference for partially observed stopped processes Jasra, A. Kantas, N. Persing, A. STATISTICS & APPLIED PROBABILITY Markov chain Monte Carlo Sequential Monte Carlo Stopped processes 10.1007/s11222-012-9348-2 Statistics and Computing 24 1 1-20 2016-06-02T10:30:13Z 2016-06-02T10:30:13Z 2014-01 Article Jasra, A., Kantas, N., Persing, A. (2014-01). Bayesian parameter inference for partially observed stopped processes. Statistics and Computing 24 (1) : 1-20. ScholarBank@NUS Repository. https://doi.org/10.1007/s11222-012-9348-2 09603174 http://scholarbank.nus.edu.sg/handle/10635/125050 000329246300001 Scopus |
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Markov chain Monte Carlo Sequential Monte Carlo Stopped processes Jasra, A. Kantas, N. Persing, A. Bayesian parameter inference for partially observed stopped processes |
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10.1007/s11222-012-9348-2 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Jasra, A. Kantas, N. Persing, A. |
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Jasra, A. Kantas, N. Persing, A. |
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Jasra, A. |
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Bayesian parameter inference for partially observed stopped processes |
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Bayesian parameter inference for partially observed stopped processes |
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Bayesian parameter inference for partially observed stopped processes |
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Bayesian parameter inference for partially observed stopped processes |
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Bayesian parameter inference for partially observed stopped processes |
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bayesian parameter inference for partially observed stopped processes |
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2016 |
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http://scholarbank.nus.edu.sg/handle/10635/125050 |
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