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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA Krainski, Elias (Universidade Federal do Parana, Curitivba, Brazil) 1. izdevums
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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Krainski, Elias (Universidade Federal do Parana, Curitivba, Brazil)
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice
284 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 30. jūnijs |
| ISBN13 | 9780367570644 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 284 |
| Izmēri | 234 × 155 × 19 mm · 452 g |
| Valoda | Angļu |
