Results 21 to 30 of about 876,447 (311)
Population control bias and importance sampling in full configuration interaction quantum Monte Carlo [PDF]
, 2021 Population control is an essential component of any projector Monte Carlo algorithm. This control mechanism usually introduces a bias in the sampled quantities that is inversely proportional to the population size.
K. Ghanem, Niklas Liebermann, A. Alavi
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Simulated redistricting plans for the analysis and evaluation of redistricting in the United States
Scientific Data, 2022 Measurement(s) redistricting, partisanship Technology Type(s) sequential Monte Carlo algorithm Factor Type(s) population deviation • compactness • county splits • racial composition • municipality splits Sample Characteristic - Organism Congressional ...
Cory McCartan +7 more
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Coupling the GUARDYAN code to subchanflow
EPJ Nuclear Sciences & Technologies, 2023 GUARDYAN is a GPU-based dynamic Monte Carlo code developed at the Budapest University of Technology and Economics, Hungary. Dynamic Monte Carlo computes the neutron population evolution by calculating the direct time dependence of the neutron histories ...
Legrady David +3 more
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A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models [PDF]
Statistics and computing, 2012 This paper addresses the Monte Carlo approximation of posterior probability distributions. In particular, we consider the population Monte Carlo (PMC) technique, which is based on an iterative importance sampling (IS) approach.
E. Koblents, J. Míguez
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Modeling Dense Star Clusters in the Milky Way and beyond with the Cluster Monte Carlo Code [PDF]
Astrophysical Journal Supplement Series, 2021 We describe the public release of the Cluster Monte Carlo (CMC) code, a parallel, star-by-star N-body code for modeling dense star clusters. CMC treats collisional stellar dynamics using Hénon’s method, where the cumulative effect of many two-body ...
C. Rodriguez +11 more
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Neutron clustering in Monte Carlo iterated-source calculations
Nuclear Engineering and Technology, 2017 Monte Carlo neutron transport codes generally use the method of successive generations to converge the fission source distribution to—and then maintain it at—the fundamental mode.
Thomas M. Sutton, Anudha Mittal
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Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 Population Monte Carlo (PMC) algorithms are a family of adaptive importance sampling (AIS) methods for approximating integrals in Bayesian inference.
V. Elvira, É. Chouzenoux
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Population-Based Reversible Jump Markov Chain Monte Carlo [PDF]
Biometrika, 2007 In this paper we present an extension of population-based Markov chain Monte Carlo (MCMC) to the trans-dimensional case. One of the main challenges in MCMC-based inference is that of simulating from high and trans-dimensional target measures. In such cases, MCMC methods may not adequately traverse the support of the target; the simulation results will ...
Ajay Jasra +2 more
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Frontiers in Pharmacology, 2021 Objectives: There have been few clinical studies of ECMO-related alterations of the PK of meropenem and conflicting results were reported. This study investigated the pharmacokinetics (PK) of meropenem in critically ill adult patients receiving ...
Jae Ha Lee +14 more
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Scientific Reports, 2023 Rapid urbanization, population growth, agricultural practices, and industrial activities have led to widespread groundwater contamination. This study evaluated heavy metal contamination in residential drinking water in Shiraz, Iran (2021).
Ahmad Badeenezhad +8 more
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