Markov chain Monte Carlo: stochastic simulation for bayesian inference Dani Gamerman and Hedibert Freitas Lopes
Material type: TextLanguage: English Series: Texts in statistical sciencePublication details: Boca Raton CRC( Chapman and Hall) 2006 Edition: 2ndDescription: xvii, 323pISBN: 9781584885870Subject(s): BAYESIAN STATISTICAL DECISION THEORY | MONTE CARLO METHOD | TEXTS IN STATISTICAL SCIENCEDDC classification: 517.217.2Item type | Current library | Call number | Status | Date due | Barcode |
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Book | NISER LIBRARY | 517.217.2 GAM-M (Browse shelf(Opens below)) | Available | 6019 |
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517.2 WEL-C Calculus of variations:with applications to physics and engineering | 517.2 WID-A Advanced calculus | 517.2 WID-A Advanced calculus | 517.217.2 GAM-M Markov chain Monte Carlo: stochastic simulation for bayesian inference | 517.248 JAI-C Course on queuing models | 517.272 TIK-V Stories about maxima and minima | 517.272 WIL-M Minimax theorems |
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