Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

By Jasper A. Vrugt. Environmental Modelling & Software, 2016

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Peering into the Dark Side: Magnesium Lines Establish a Massive Neutron Star in PSR J2215+5135 (2018, methodology): “In determining the binary parameters, we use a Markov chain Monte Carlo (MCMC) method convolved with a differential evolution fitting algorithm (DREAM; see Shahbaz et al. 2017; Vrugt 2016).”
Recent Developments and Applications of the HYDRUS Computer Software Packages (2016, positive): “…software packages using either a relatively simple, gradient-based, local-optimization approach based on the Marquardt–Levenberg method, which is directly implemented into the HYDRUS models, or more complex global optimization methods (e.g., Vrugt, 2016), which need to be run separately of HYDRUS.”
Implementation and Application of a Root Growth Module in HYDRUS (2018, methodology): “Parameter Optimization The Differential Evolution Adaptive Metropolis (DREAM) algorithm (Vrugt et al., 2009; Vrugt, 2016) was used for optimizing the model parameters and for model calibration.”