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Book Categories |
| 1 | Introduction | 1 |
| 2 | Random variable generation | 35 |
| 3 | Monte Carlo integration | 79 |
| 4 | Controling Monte Carlo variance | 123 |
| 5 | Monte Carlo optimization | 157 |
| 6 | Markov chains | 205 |
| 7 | The metropolis - Hastings algorithm | 267 |
| 8 | The slice sampler | 321 |
| 9 | The two-stage Gibbs sampler | 337 |
| 10 | The multi-stage Gibbs sampler | 371 |
| 11 | Variable dimension models and reversible jump algorithms | 425 |
| 12 | Diagnosing convergence | 459 |
| 13 | Perfect sampling | 511 |
| 14 | Iterated and sequential importance sampling | 545 |
| A | Probability distributions | 581 |
| B | Notation | 585 |
| Price | Condition | Delivery | Seller | Action |
| $102.51 | Digital |
| WonderClub |
Sean Keeney
reviewed Monte Carlo Statistical Methods on November 30, 2015
Monte Carlo Statistical Methods
I had studied the entirety of this textbook over the course of two university semesters. The textbook serves as a simple introduction, and delves unhurriedly and systemically into more advanced theories. A student will find an abundance of exercises to work through, and an adequate number of solved examples for almost each concept you come across in the chapters. As a bonus, I have absolutely enjoyed the case studies and articles included.
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Add Monte Carlo Statistical Methods, Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulati, Monte Carlo Statistical Methods to the inventory that you are selling on WonderClubX
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Add Monte Carlo Statistical Methods, Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulati, Monte Carlo Statistical Methods to your collection on WonderClub |
