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007			cr cuuuuuauuuu
008			180118s2017 bl por d
035			_aocm51338542
040			_aP5A _cP5A
082	0	4	_acs
090			_acs
100	1		_aEstumano, Diego _u(Universidade Federal do Pará, Brazil) _99382
245	1	0	_aABC - Approximate Bayesian Computation/ _cDiego Estumano.
246	3	2	_aMinicurso: ABC - Approximate Bayesian Computation
260			_aRio de Janeiro: _bIMPA, _c2017.
300			_avideo online
500			_aMinicurso - 2 aulas
505	2		_aThe so-called Approximate Bayesian Computation (ABC) has been developed for cases where the computation of the likelihood function becomes intractable, for example, when the experimental uncertainties cannot be appropriately modeled in terms of analytical distribution functions. This mini-course will present basic aspects of Approximate Bayesian Computation (ABC), as well as algorithms, including those that allow for simultaneous model selection and parameter estimation.
650	0	4	_aMatematica. _2larpcal _919899
697			_aCongressos e Seminários. _923755
856	4		_zAULA 1 _uhttps://www.youtube.com/watch?v=kFKufYNposM&list=PLo4jXE-LdDTQDyz2aK0awJwreyZlvWvNw&index=1
856	4		_zAULA 2 _uhttps://www.youtube.com/watch?v=RGonZRmYIEA&list=PLo4jXE-LdDTQDyz2aK0awJwreyZlvWvNw&index=2
942			_2ddc _cBK
999			_aABC - Approximate Bayesian Computation. Diego Estumano. Rio de Janeiro: IMPA, 2017. video online. Disponível em: <https://www.youtube.com/watch?v=kFKufYNposM&list=PLo4jXE-LdDTQDyz2aK0awJwreyZlvWvNw&index=1>. Acesso em: 18 jan. 2018. _c36578 _d36578