To see accurate pricing, please choose your delivery country.
United States
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Markov Chain Monte Carlo Stochastic Simulation for Bayesian Inference

By: Dani Gamerman and Hedibert F Lopes
323 pages
Markov Chain Monte Carlo
Click to have a closer look
  • Markov Chain Monte Carlo ISBN: 9781584885870 Edition: 2 Hardback May 2006 Not in stock: Usually dispatched within 1 week
Price: £96.99
About this book Contents Customer reviews Related titles

About this book

Presents an introduction to the methods of simulation technique. This second edition includes a discussion of computation using both R and WinBUGS; and additional exercises and selected solutions within the text, with all data sets and software. It is aimed at those working with MCMC techniques, especially research and graduate statisticians.


INTRODUCTIONSTOCHASTIC SIMULATIONIntroductionGeneration of Discrete Random QuantitiesGeneration of Continuous Random QuantitiesGeneration of Random Vectors and MatricesResampling MethodsExercisesBAYESIAN INFERENCEIntroductionBayes' TheoremConjugate DistributionsHierarchical ModelsDynamic ModelsSpatial ModelsModel ComparisonExercisesAPPROXIMATE METHODS OF INFERENCEIntroductionAsymptotic ApproximationsApproximations by Gaussian QuadratureMonte Carlo IntegrationMethods Based on Stochastic SimulationExercisesMARKOV CHAINSIntroductionDefinition and Transition ProbabilitiesDecomposition of the State SpaceStationary DistributionsLimiting TheoremsReversible ChainsContinuous State SpacesSimulation of a Markov ChainData Augmentation or Substitution SamplingExercisesGIBBS SAMPLINGIntroductionDefinition and PropertiesImplementation and OptimizationConvergence DiagnosticsApplicationsMCMC-Based Software for Bayesian ModelingAppendix 5.A: BUGS Code for Example 5.7Appendix 5.B: BUGS Code for Example 5.8ExercisesMETROPOLIS-HASTINGS ALGORITHMSIntroductionDefinition and PropertiesSpecial CasesHybrid AlgorithmsApplicationsExercisesFURTHER TOPICS IN MCMCIntroductionModel AdequacyModel Choice: MCMC Over Model and Parameter SpacesConvergence AccelerationExercisesReferencesAuthor IndexSubject Index

Customer Reviews

By: Dani Gamerman and Hedibert F Lopes
323 pages
Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides