A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

Taking error into account when fitting models using Approximate Bayesian Computation

(2018) Elske van der Vaart et al.   ECOLOGICAL APPLICATIONS

Model selection and parameter estimation in tumor growth models using approximate Bayesian computation-ABC

(2017) José Mir Justino da Costa et al.   computational and applied mathematics

Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence

(2016) Mohammad Y. Anwar et al.   MALARIA JOURNAL

Laplace based approximate posterior inference for differential equation models

(2016) Sarat C. Dass et al.   STATISTICS AND COMPUTING

Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic

(2015) Libo Sun et al.   ENVIRONMETRICS

Accelerating inference for diffusions observed with measurement error and large sample sizes using approximate Bayesian computation

(2015) Umberto Picchini et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

(2014) Juliane Liepe et al.   Nature Protocols

Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems

(2013) Daniel Silk et al.   Statistical Applications in Genetics and Molecular Biology

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

(2013) Sarah Filippi et al.   Statistical Applications in Genetics and Molecular Biology

Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

(2013) Richard David Wilkinson   Statistical Applications in Genetics and Molecular Biology

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

(2011) Mark Girolami et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

An adaptive sequential Monte Carlo method for approximate Bayesian computation

(2011) Pierre Del Moral et al.   STATISTICS AND COMPUTING

Bayesian design strategies for synthetic biology

(2011) C. P. Barnes et al.   Interface Focus

Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation

(2010) C. C. Drovandi et al.   BIOMETRICS

Simulation-based model selection for dynamical systems in systems and population biology

(2009) Tina Toni et al.   BIOINFORMATICS

Adaptive approximate Bayesian computation

(2009) M. A. Beaumont et al.   BIOMETRIKA

The last man standing is the most resistant: eliminating artemisinin-resistant malaria in Cambodia

(2009) Richard J Maude et al.   MALARIA JOURNAL

The role of simple mathematical models in malaria elimination strategy design

(2009) Lisa J White et al.   MALARIA JOURNAL

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

(2008) T. Toni et al.   Journal of the Royal Society Interface

Prospects for Malaria Eradication in Sub-Saharan Africa

(2008) Ricardo Águas et al.   PLoS One