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Abstract: We present a stochastic approach to perform strongly contracted n-electron valence state perturbation theory (SC-NEVPT), which only requires one- and two-body reduced density matrices ...
a practical point of view. Marin, Rodriguez-Bernal, and Romero (2015) uses a data cloning technique to explore the quasi likelihood surface by Markov chain Monte Carlo (MCMC) methods . The third is the MCMC ...
Abstract The objective of this study is to determine the energy response factors for BeO optically simulated dosemeter (OSLD) using general cavity theory and Monte Carlo (MC) simulations. A virtual ...
may exhibit a complex shape with several maxima, a global search method must be used to solve the inverse problem. Therefore, we use a Monte Carlo (MC) approach which does not assume any particular ...
these types of problem are often significantly non-linear and have non-unique solutions, Markov chain Monte Carlo methods have been used to find probabilistic solutions. Body and surface wave data are usually ...
, and the implications of the observed instabilities on downstream analyses were quantified. We accomplished this through the use of Monte Carlo Arithmetic (MCA) [25, 26], a technique which enables characterization ...
SUMMARY We use Monte Carlo simulations to explore the effects of earth model uncertainty on the estimation of the seismic source time functions that correspond to the six independent components ...
computed by the Monte Carlo method , σMC is a standard deviation of PMC, PTP, PξηM, and PPBM are the probabilities calculated by the target plane method , method , which uses a curvilinear coordinate system ...
. The reversible-jump Markov-chain Monte Carlo algorithm, which adds/removes interfaces and AR parameters in birth/death steps, is applied to sample the trans-D posterior probability density for model ...
, estimation difficulties have hindered the diffusion of α‐stable distributions among practitioners. In particular, the absence of a closed‐form density function prevents the use of maximum likelihood ...
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