Results 281 to 290 of about 876,447 (311)
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Population-Based Monte Carlo Methods
2004In parallel tempering (Section 10.4), the target distribution is embedded into a larger system which hosts a number of similar distributions differing with each other only in a temperature parameter. Then, parallel Monte Carlo Markov chains are conducted to sample from these distributions simultaneously.
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Estimation of Population Variance in Contributon Monte Carlo
Nuclear Science and Engineering, 1984Based on the theory of contributons, a new Monte Carlo method known as the contributon Monte Carlo method has recently been developed. The method has found applications in several practical shielding problems. The authors analyze theoretically the variance and efficiency of the new method, by taking moments around the score.
P. K. Sarkar, M. A. Prasad
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Constant-number Monte Carlo simulation of population balances
Chemical Engineering Science, 1998A Monte Carlo method for the simulation of growth processes is presented, in which the number of particles is kept constant, regardless of whether the actual process results in a net loss (as in coagulation) or net increase (as in fragmentation) of particles.
Matthew Smith, Themis Matsoukas
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Investigating energy deposition within cell populations using Monte Carlo simulations
Physics in Medicine & Biology, 2018In this work, we develop multicellular models of healthy and cancerous human soft tissues, which are used to investigate energy deposition in subcellular targets, quantify the microdosimetric spread in a population of cells, and determine how these results depend on model details.
P A K Oliver, Rowan M Thomson
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Segmentation Using Population based Markov Chain Monte Carlo
2013 Ninth International Conference on Natural Computation (ICNC), 2013Simulated Annealing is a methodology employed to solve NP-hard problem proximately. Compared with other methods, SA is able to obtain more accurate solution to the problem. However, this algorithm is too costly to be applied to the complicated problems.
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On the performance of nonlinear importance samplers and population Monte Carlo schemes
International Conference on Digital Signal Processing, 2017J. Míguez
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Confidence intervals for population projections based on Monte Carlo methods
International Journal of Forecasting, 1988"This paper presents an approach of constructing confidence intervals by means of Monte Carlo simulation. This technique attempts to incorporate the uncertainty involved in projecting human populations by letting the fertility and net immigration rates vary as a random variable with a specific distribution.
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Computational Methods in Heterogeneous Catalysis
Chemical Reviews, 2021Benjamin W J Chen +2 more
exaly
Photorealistic Image Rendering with Population Monte Carlo Energy Redistribution
Rendering Techniques, 2007Yu-Chi Lai +3 more
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Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation
IEEE Journal on Selected Topics in Signal Processing, 2010Mingyi Hong, M. Bugallo, P. Djurić
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