000			03890pam a22004691i 4500
001			021438610
003			BD-SySUS
005			20230903110654.0
006			m || d |
007			cr |||||||||||
008			180925s2018 flua o 000|0|eng|d
020			_a9781351643467 (ePub ebook) : _c£47.98
020			_z9781439881507 (hbk.) : _c£69.99
020			_a9781439881514 (PDF ebook) : _c£47.98
020			_a9781351633963 (Mobipocket ebook) : _c£47.98
020			_a9781315117195 (ebook) : _c£47.98
024	7		_a10.1201/9781315117195 _2doi
040			_aStDuBDS _beng _erda _epn _cStDuBDS _dUk
082	0	4	_a519.542 _223
245	0	0	_aHandbook of approximate Bayesian computation / _cedited by Scott A. Sisson, Yanan Fan, Mark Beaumont.
250			_a1st
264		1	_aBoca Raton : _bChapman & Hall/CRC, _c2018.
300			_a1 online resource : _billustrations (black and white).
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	0		_aChapman & Hall/CRC Handbooks of Modern Statistical Methods
500			_aAcademic
505	0		_aIntroduction Overview of ABC: S. A. Sisson, Y. Fan and M. A. Beaumont On the history of ABC: S.Tavare Regression approaches: M. G. B. Blum ABC Samplers: S. A. Sisson and Y. Fan Summary statistics: D. Prangle Likelihood-free Model Choice: J.-M. Marin, P. Pudlo, A. Estoup and C. Robert ABC and Indirect Inference: C. C. Drovandi High-Dimensional ABC: D. Nott, V. Ong, Y. Fan and S. A. Sisson Theoretical and Methodological Aspects of Markov Chain Monte Carlo Computations with Noisy Likelihoods: C. Andrieu, A.Lee and M. Viola Asymptotics of ABC: Paul Fearnhead Informed Choices: How to Calibrate ABC with Hypothesis Testing: O. Ratmann, A. Camacho, S. Hu and C. Coljin Approximating the Likelihood in ABC: C. C. Drovandi, C. Grazian, K. Mengersen and C. Robert Divide and Conquer in ABC: Expectation-Propagation algorithms for likelihood-free inference: S. Barthelme, N. Chopin and V. Cottet Sequential Monte Carlo-ABC Methods for Estimation of Stochastic Simulation Models of the Limit Order Book: G. W. Peters, E. Panayi and F. Septier Inferences on the Acquisition of Multidrug Resistance in Mycobacterium Tuberculosis Using Molecular Epidemiological Data: G. S. Rodrigues, S. A. Sisson, and M. M. Tanaka ABC in Systems Biology: J. Liepe and M. P. H. Stumpf Application of ABC to Infer about the Genetic History of Pygmy Hunter-Gatherers Populations from Western Central Africa: A. Estoup, P. Verdu, J.-M. Marin, C. Robert, A. Dehne-Garcia, J.-M. Cornuet and P. Pudlo ABC for Climate: Dealing with Expensive Simulators: P. B. Holden, N. R. Edwards, J. Hensman and R. D. Wilkinson ABC in Ecological Modelling: M. Fasiolo and S. N. Wood ABC in Nuclear Imaging: Y. Fan, S. R. Meikle, G. Angelis and A. Sitek
506	1		_aLegal Deposit; _cOnly available on premises controlled by the deposit library and to one user at any one time; _eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK). _5UkOxU
540			_aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. _5UkOxU
588			_aDescription based on CIP data; resource not viewed.
650		0	_aBayesian statistical decision theory. _964370
700	1		_aSisson, S. A. _q(Scott A.), _eeditor. _964371
700	1		_aFan, Y. _q(Yanan), _eeditor. _964372
700	1		_aBeaumont, M. A. _q(Mark A.), _eeditor. _964373
776	0	8	_iPrint version : _z9781439881507
856			_3Taylor&Francis _uhttps://www.taylorfrancis.com/books/edit/10.1201/9781315117195/handbook-approximate-bayesian-computation-scott-sisson-yanan-fan-mark-beaumont?context=ubx&refId=38942715-a2bb-4881-8dc6-32d8f54cdd4a
942			_2ddc _cEBK
999			_c85145 _d85145