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Intro to Approximate Bayesian Computation (ABC)

Intro to Approximate Bayesian Computation (ABC)

Category: Science
Released: April 12, 2017
Inference for stochastic differential equations via approximate Bayesian computation

Inference for stochastic differential equations via approximate Bayesian computation

Category: Science
Released: April 12, 2017
ABC with data cloning for MLE in state space models

ABC with data cloning for MLE in state space models

Category: Science
Released: April 12, 2017
Accelerated approximate Bayesian computation with applications to protein folding data

Accelerated approximate Bayesian computation with applications to protein folding data

Category: Science
Released: April 12, 2017
A likelihood-free version of the stochastic approximation EM algorithm (SAEM) for parameter estimation in complex models

A likelihood-free version of the stochastic approximation EM algorithm (SAEM) for parameter...

Category: Science
Released: April 12, 2017
My data are incomplete and noisy: Information-reduction statistical methods for knowledge extraction can save your day: tools and opportunities for modelling

My data are incomplete and noisy: Information-reduction statistical methods for knowledge extraction...

Category: Science
Released: April 12, 2017
Particle MCMC methods for parameter inference in state space models

Particle MCMC methods for parameter inference in state space models

Category: Science
Released: April 12, 2017
Inference via Bayesian Synthetic Likelihoods for a Mixed-Effects SDE Model of Tumor Growth

Inference via Bayesian Synthetic Likelihoods for a Mixed-Effects SDE Model of Tumor Growth

Category: Science
Released: April 12, 2017