Approximate Bayesian computation: Difference between revisions

Revision as of 16:03, 26 April 2024

Revision as of 17:33, 30 April 2024

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<ref name="Bertorelle">{{cite journal | last1 = Bertorelle | first1 = G | last2 = Benazzo | first2 = A | last3 = Mona | first3 = S | year = 2010 | title = ABC as a flexible framework to estimate demography over space and time: some cons, many pros | journal = Molecular Ecology | volume = 19 | issue = 13| pages = 2609–2625 | doi=10.1111/j.1365-294x.2010.04690.x| pmid = 20561199 | bibcode = 2010MolEc..19.2609B | s2cid = 12129604 | doi-access = free }}</ref>

<ref name="Csillery">{{cite journal | last1 = Csilléry | first1 = K | last2 = Blum | first2 = MGB | last3 = Gaggiotti | first3 = OE | last4 = François | first4 = O | year = 2010 | title = Approximate Bayesian Computation (ABC) in practice | journal = Trends in Ecology & Evolution | volume = 25 | issue = 7| pages = 410–418 | doi=10.1016/j.tree.2010.04.001| pmid = 20488578 | s2cid = 13957079 }}</ref>

<ref name="Rubin">{{cite journal | last1 = Rubin | first1 = DB | year = 1984 | title = Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician | journal = The Annals of Statistics | volume = 12 | issue = 4| pages = 1151–1172 | doi=10.1214/aos/1176346785| doi-broken-date = 2024-04-26 | doi-access = free }}</ref>

<ref name="Marjoram">{{cite journal | last1 = Marjoram | first1 = P | last2 = Molitor | first2 = J | last3 = Plagnol | first3 = V | last4 = Tavare | first4 = S | year = 2003 | title = Markov chain Monte Carlo without likelihoods | journal = Proc Natl Acad Sci U S A | volume = 100 | issue = 26| pages = 15324–15328 | doi=10.1073/pnas.0306899100| pmid = 14663152 | pmc = 307566 | bibcode = 2003PNAS..10015324M | doi-access = free }}</ref>

<ref name="Sisson">{{cite journal | last1 = Sisson | first1 = SA | last2 = Fan | first2 = Y | last3 = Tanaka | first3 = MM | year = 2007 | title = Sequential Monte Carlo without likelihoods | journal = Proc Natl Acad Sci U S A | volume = 104 | issue = 6| pages = 1760–1765 | doi=10.1073/pnas.0607208104| pmid = 17264216 | pmc = 1794282 | bibcode = 2007PNAS..104.1760S | doi-access = free }}</ref>

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<ref name="Templeton2009b">{{cite journal | last1 = Templeton | first1 = AR | year = 2009 | title = Why does a method that fails continue to be used? The answer | journal = Evolution | volume = 63 | issue = 4| pages = 807–812 | doi=10.1111/j.1558-5646.2008.00600.x| pmid = 19335340 | pmc = 2693665 }}</ref>

<ref name="Berger">{{cite journal | last1 = Berger | first1 = JO | last2 = Fienberg | first2 = SE | last3 = Raftery | first3 = AE | last4 = Robert | first4 = CP | year = 2010 | title = Incoherent phylogeographic inference | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 107 | issue = 41| pages = E157 | doi=10.1073/pnas.1008762107| pmid = 20870964 | bibcode = 2010PNAS..107E.157B | pmc = 2955098 | doi-access = free }}</ref>

<ref name="Didelot">{{cite journal | last1 = Didelot | first1 = X | last2 = Everitt | first2 = RG | last3 = Johansen | first3 = AM | last4 = Lawson | first4 = DJ | year = 2011 | title = Likelihood-free estimation of model evidence | journal = Bayesian Analysis | volume = 6 | pages = 49–76 | doi=10.1214/11-ba602| doi-broken-date = 2024-04-26 | doi-access = free }}</ref>

<ref name="Robert">{{cite journal | last1 = Robert | first1 = CP | last2 = Cornuet | first2 = J-M | last3 = Marin | first3 = J-M | last4 = Pillai | first4 = NS | year = 2011 | title = Lack of confidence in approximate Bayesian computation model choice | journal = Proc Natl Acad Sci U S A | volume = 108 | issue = 37| pages = 15112–15117 | doi=10.1073/pnas.1102900108| pmid = 21876135 | pmc = 3174657 | bibcode = 2011PNAS..10815112R | doi-access = free }}</ref>

<ref name="Busetto2009a">Busetto A.G., Buhmann J. Stable Bayesian Parameter Estimation for Biological Dynamical Systems.; 2009. IEEE Computer Society Press pp. 148-157.</ref>

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<ref name="Arlot">{{cite journal | last1 = Arlot | first1 = S | last2 = Celisse | first2 = A | year = 2010 | title = A survey of cross-validation procedures for model selection | journal = Statistics Surveys | volume = 4 | pages = 40–79 | doi=10.1214/09-ss054| doi-broken-date = 2024-04-26 | arxiv = 0907.4728 | s2cid = 14332192 }}</ref>

<ref name="Dawid">{{cite journal | last1 = Dawid | first1 = A | title = Present position and potential developments: Some personal views: Statistical theory: The prequential approach | journal = Journal of the Royal Statistical Society, Series A | volume = 1984 | pages = 278–292 }}</ref>

<ref name="Vehtari">{{cite journal | last1 = Vehtari | first1 = A | last2 = Lampinen | first2 = J | year = 2002 | title = Bayesian model assessment and comparison using cross-validation predictive densities | journal = Neural Computation | volume = 14 | issue = 10| pages = 2439–2468 | doi=10.1162/08997660260293292| pmid = 12396570 | citeseerx = 10.1.1.16.3206 | s2cid = 366285 }}</ref>

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<ref name="Marin11">{{cite journal | last1 = Marin | first1 = JM | last2 = Pudlo | first2 = P | last3 = Robert | first3 = CP | last4 = Ryder | first4 = RJ | year = 2012 | title = Approximate Bayesian computational methods | journal = Statistics and Computing | volume = 22 | issue = 6| pages = 1167–1180 | doi=10.1007/s11222-011-9288-2| arxiv = 1101.0955 | s2cid = 40304979 }}</ref>

<ref name="Wilkinson2007">Wilkinson, R. G. (2007). Bayesian Estimation of Primate Divergence Times, Ph.D. thesis, University of Cambridge.</ref>

<ref name="Berger2006">{{cite journal |last= Berger |first= J.O. |year= 2006 |title= The case for objective Bayesian analysis |journal= Bayesian Analysis |volume= 1 |issue= pages 385–402 and 457–464 |pages= 385–402 |doi= 10.1214/06-BA115 |doi-broken-date= 2024-04-26 |doi-access= free }}</ref>

<ref name="Kangas16">{{cite journal |last1= Kangasrääsiö |first1= Antti |last2= Lintusaari |first2= Jarno |last3= Skytén |first3= Kusti |last4= Järvenpää |first4= Marko |last5= Vuollekoski |first5= Henri |last6= Gutmann |first6= Michael |last7= Vehtari |first7= Aki |last8= Corander |first8= Jukka |last9= Kaski |first9= Samuel|year= 2016 |title= ELFI: Engine for Likelihood-Free Inference |url=http://approximateinference.org/accepted/KangasraasioEtAl2016.pdf |journal= NIPS 2016 Workshop on Advances in Approximate Bayesian Inference|bibcode= 2017arXiv170800707L |arxiv= 1708.00707 }}</ref>

<ref name="Klinger2017">Klinger, E.; Rickert, D.; Hasenauer, J. (2017). pyABC: distributed, likelihood-free inference.</ref>