Antonietta Mira, Professore di Statistica, Università della Svizzera italiana, Lugano Google scholar
Antonietta Mira, JP Onnela, S. Peluso, P. Muliere, A. Caimo: Inference in Statistical and Mechanistic Network Models. BoB, December 8, 2015
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
PDF V Amati, A Lomi, A Mira: Social Network Modelling. Annual Review of Statistics and Its Application 5 (1) 2017
PDF Stefano Peluso, Antonietta Mira, Pietro Muliere, Alessandro Lomi: International Trade: a Reinforced Urn Network Model. 2016.
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.
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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
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Mikael Sunnåker, Alberto Giovanni Busetto, Elina Numminen, Jukka Corander, Matthieu Foll, Christophe Dessimoz: Approximate Bayesian Computation. Plos CB, January 10, 2013
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
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ArXiv Darren Wilkinson: 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.
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.
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.
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CRAN Richard Wilkinson, Simon Tavaré: Approximate Bayesian Computation: a simulation based approach to inference.
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.
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)
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.
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.
Page Michael Stumpf: Networks, Data, Models and Statistical Learning in Julia. 18th November 2014.
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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
Page Vincent Boucher: Structural homophily. International Economic Review 56 (1), 235-264.
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