====== ABC for networks ======

**Antonietta Mira**, Professore di Statistica, Università della Svizzera italiana, Lugano [[https://scholar.google.com/citations?user=848dFBMAAAAJ&hl=it|Google scholar]]

  - Antonietta Mira, JP Onnela, S. Peluso, P. Muliere, A. Caimo: Inference in Statistical and Mechanistic Network Models. BoB, December 8, 2015 [[https://botb2015.files.wordpress.com/2015/12/keynote-antonietta-mira.pdf|PDF]]
  - A Caimo, A Mira: Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks. Statistics and Computing 25 (1), 113-125, 2016 [[https://arxiv.org/pdf/1403.4402.pdf|PDF]]
  - V Amati, A Lomi, A Mira: Social Network Modelling. Annual Review of Statistics and Its Application 5 (1) 2017 [[https://www.researchgate.net/profile/Alessandro_Lomi/publication/317672028_Social_Network_Modelling/links/59484fe3a6fdcc70635a2966/Social-Network-Modelling.pdf|PDF]]
  - Stefano Peluso, Antonietta Mira, Pietro Muliere, Alessandro Lomi: International Trade: a Reinforced Urn Network Model. 2016. [[http://download.unibocconi.it/convegno_muliere/sezione5/5_5_international_trade.pdf|PDF]]
  - Ritabrata Dutta, Marcel Schoengens, Jukka-Pekka Onnela, Antonietta Mira: ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. PASC '17 Proceedings of the Platform for Advanced Scientific Computing Conference Article No. 8. [[http://dl.acm.org/citation.cfm?id=3093233&dl=ACM&coll=DL&CFID=813379570&CFTOKEN=79089971|ACM]]
  - ABCpy [[https://github.com/eth-cscs/abcpy/blob/master/README.md|GitHub]]; [[https://pypi.python.org/pypi/abcpy/0.3|Pypi]]

  - [[https://en.wikipedia.org/wiki/Approximate_Bayesian_computation|Approximate Bayesian computation]]
  - Brandon M. Turner, Trisha Van Zandt: A tutorial on approximate Bayesian computation. Journal of Mathematical Psychology, Volume 56, Issue 2, April 2012, Pages 69-85 [[http://www.sciencedirect.com/science/article/pii/S0022249612000272|PDF]]
  - [[http://www.maths.lu.se/fileadmin/maths/forskning_research/InferPartObsProcess/abc_slides.pdf|ABC slides]]
  - Michael Gutmann: Tutorial on Approximate Bayesian Computation. Slides, 2016 [[http://www.hiit.fi/ABCruise/slides/ABC-Tutorial-2016.pdf|PDF]]; [[https://michaelgutmann.github.io/|Home page]]; [[https://michaelgutmann.github.io/publications/|Publications]]; [[https://michaelgutmann.github.io/assets/papers/Lintusaari2017.pdf|PDF]]
  - Mikael Sunnåker, Alberto Giovanni Busetto, Elina Numminen, Jukka Corander, Matthieu Foll, Christophe Dessimoz: Approximate Bayesian Computation. Plos CB, January 10, 2013 [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002803|PDF]]
  - Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder: Approximate Bayesian computational methods. Statistics and Computing, November 2012, Volume 22, Issue 6, pp 1167–1180 [[https://link.springer.com/article/10.1007/s11222-011-9288-2|PDF]]; [[https://arxiv.org/pdf/1101.0955.pdf|ArXiv]]
  - Darren Wilkinson: Introduction to Approximate Bayesian Computation (ABC) [[https://darrenjw.wordpress.com/2013/03/31/introduction-to-approximate-bayesian-computation-abc/|Blog]]
  - Jing Wang, Yves F. Atchadé: Approximate Bayesian Computation for Exponential Random Graph Models for Large Social Networks. Communications in Statistics - Simulation and Computation. Volume 43, 2014 - Issue 2, Pages 359-377. [[http://www.tandfonline.com/doi/abs/10.1080/03610918.2012.703359|PDF]]
  - Damien Fay, Andrew W. Moore, Ken Brown, Giuseppe Jurman: Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation. Journal of Complex Networks, Volume 3, Issue 1, 1 March 2015, Pages 52–83. [[https://academic.oup.com/comnet/article-abstract/3/1/52/489586/Graph-metrics-as-summary-statistics-for?redirectedFrom=PDF|PDF]]
  - K Csill´ery, L Lemaire, O Fran¸cois, MGB Blum: Approximate Bayesian Computation (ABC) in R: A Vignette. abc version 2.1, 2015-05-04. [[https://cran.r-project.org/web/packages/abc/vignettes/abcvignette.pdf|PDF]], [[https://cran.r-project.org/web/packages/abc/|CRAN]]
  - Richard Wilkinson, Simon Tavaré: Approximate Bayesian Computation: a simulation based approach to inference. [[http://www0.cs.ucl.ac.uk/staff/C.Archambeau/AIS/Talks/rwilkinson_ais08.pdf|PDF]]
  - Jarno Lintusaari, Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander: Fundamentals and Recent Developments in Approximate Bayesian Computation. Systematic Biology, Volume 66, Issue 1, 1 January 2017, Pages e66–e82. [[https://academic.oup.com/sysbio/article/66/1/e66/2420817/Fundamentals-and-Recent-Developments-in|Page]]
  - Scott A. Sisson, Yanan Fan, Mark Beaumont (Eds): Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods) 1st Edition (January 31, 2018) [[https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502|Amazon]]
  - Christian P. Robert, Jean-Marie Cornuet, Jean-Michel Marin, Natesh S. Pillai: Lack of confidence in approximate Bayesian computation model choice. PNAS, vol. 108 no. 37, 15112–15117. [[http://www.pnas.org/content/108/37/15112.short|Page]]
  - Stuart Barber, Jochen Voss, Mark Webster: The rate of convergence for approximate Bayesian computation. Electronic Journal of Statistics. Volume 9, Number 1 (2015), 80-105. [[https://projecteuclid.org/euclid.ejs/1423229751|Page]]
  - Michael Stumpf: Networks, Data, Models and Statistical Learning in Julia. 18th November 2014. [[https://skillsmatter.com/skillscasts/5873-networks-data-models-and-statistical-learning-in-julia|Video]]
  - EasyABC R package: [[https://cran.r-project.org/web/packages/EasyABC/vignettes/EasyABC.pdf|PDF]], [[https://cran.r-project.org/web/packages/EasyABC/|CRAN]]
  - Xavier Rubio-Campillo, María Coto-Sarmiento, Jordi Pérez-Gonzalez, José Remesal Rodríguez: Bayesian analysis and free market trade within the Roman Empire. Antiquity, Volume 91, Issue 359, October 2017 , pp. 1241-1252 [[https://www.cambridge.org/core/journals/antiquity/article/bayesian-analysis-and-free-market-trade-within-the-roman-empire/BE02A476F5E06C5D1E0670190F89ECAE/core-reader|Page]]
  - Vincent Boucher: Structural homophily. International Economic Review 56 (1), 235-264. [[http://onlinelibrary.wiley.com/doi/10.1111/iere.12101/full|Page]]
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