On predictive inference for intractable models via approximate Bayesian computation. [PDF]
Järvenpää M, Corander J.
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Model parameter estimation with imprecise information
Model parameter estimation is a well-known inverse problem, as long as single-value point data are available as observations of system performance measurement.
Wolfgang Rauch +2 more
doaj +1 more source
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation [PDF]
Cunha A, Barton DAW, Ritto TG.
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Approximate Bayesian Computation for Smoothing
We consider a method for approximate inference in hidden Markov models (HMMs). The method circumvents the need to evaluate conditional densities of observations given the hidden states. It may be considered an instance of Approximate Bayesian Computation (ABC) and it involves the introduction of auxiliary variables valued in the same space as the ...
Martin, James S. +4 more
openaire +2 more sources
An Approximate Bayesian Computation Approach for Modeling Genome Rearrangements. [PDF]
Moshe A +8 more
europepmc +1 more source
Approximate Bayesian computation design for phase I clinical trials. [PDF]
Jin H, Du W, Yin G.
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Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. [PDF]
AKesson M +3 more
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Microsimulation Model Calibration with Approximate Bayesian Computation in R: A Tutorial. [PDF]
Shewmaker P +4 more
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Approximate Bayesian computation and ecological niche models elucidate the demographic history and current fragmented population distribution of a Korean endemic shrub. [PDF]
Ong HG +7 more
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Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation. [PDF]
Gaskell J +4 more
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