Some theoretical results on neural spike train probability models
10.1214/009053607000000280
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sg-nus-scholar.10635-1053802023-10-26T10:22:01Z Some theoretical results on neural spike train probability models Chan, H.P. Loh, W.-L. STATISTICS & APPLIED PROBABILITY Boundary crossing probability Conditional intensity Counting process Importance sampling Neural spike train Poisson process Scan statistics Sieve maximum likelihood estimation Template matching 10.1214/009053607000000280 Annals of Statistics 35 6 2691-2722 2014-10-28T05:15:21Z 2014-10-28T05:15:21Z 2007-12 Article Chan, H.P., Loh, W.-L. (2007-12). Some theoretical results on neural spike train probability models. Annals of Statistics 35 (6) : 2691-2722. ScholarBank@NUS Repository. https://doi.org/10.1214/009053607000000280 00905364 http://scholarbank.nus.edu.sg/handle/10635/105380 000253077800020 Scopus |
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Boundary crossing probability Conditional intensity Counting process Importance sampling Neural spike train Poisson process Scan statistics Sieve maximum likelihood estimation Template matching |
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Boundary crossing probability Conditional intensity Counting process Importance sampling Neural spike train Poisson process Scan statistics Sieve maximum likelihood estimation Template matching Chan, H.P. Loh, W.-L. Some theoretical results on neural spike train probability models |
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10.1214/009053607000000280 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Chan, H.P. Loh, W.-L. |
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Chan, H.P. Loh, W.-L. |
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Chan, H.P. |
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Some theoretical results on neural spike train probability models |
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Some theoretical results on neural spike train probability models |
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Some theoretical results on neural spike train probability models |
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Some theoretical results on neural spike train probability models |
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some theoretical results on neural spike train probability models |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/105380 |
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