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Considerate Approaches to Achieving Sufficiency for ABC model selection
v1v2 (latest)

Considerate Approaches to Achieving Sufficiency for ABC model selection

30 June 2011
Chris P. Barnes
Sarah Filippi
M. Stumpf
Thomas Thorne
ArXiv (abs)PDFHTML

Papers citing "Considerate Approaches to Achieving Sufficiency for ABC model selection"

7 / 7 papers shown
Title
Lack of confidence in ABC model choice
Lack of confidence in ABC model choice
Christian P. Robert
J. Cornuet
Jean-Michel Marin
Natesh Pillai
112
51
0
22 Feb 2011
Why approximate Bayesian computational (ABC) methods cannot handle model
  choice problems
Why approximate Bayesian computational (ABC) methods cannot handle model choice problems
Christian P. Robert
Jean-Michel Marin
Natesh S. Pillai
81
13
0
26 Jan 2011
Constructing Summary Statistics for Approximate Bayesian Computation:
  Semi-automatic ABC
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
Paul Fearnhead
D. Prangle
92
87
0
07 Apr 2010
Simulation-based model selection for dynamical systems in systems and
  population biology
Simulation-based model selection for dynamical systems in systems and population biology
Tina Toni
M. Stumpf
139
290
0
09 Nov 2009
Approximate Bayesian computation scheme for parameter inference and
  model selection in dynamical systems
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni
David Welch
N. Strelkowa
Andreas Ipsen
M. Stumpf
250
1,550
0
14 Jan 2009
Approximate Bayesian computation (ABC) gives exact results under the
  assumption of model error
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
Richard D. Wilkinson
113
275
0
20 Nov 2008
HIV with contact-tracing: a case study in Approximate Bayesian
  Computation
HIV with contact-tracing: a case study in Approximate Bayesian Computation
M. Blum
V. Tran
83
92
0
06 Oct 2008
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