Index Catalog // ScholarsArchive@OSU

Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling

Creator:: Wang, Haiou
Abstract:: Logic Sampling, Likelihood Weighting and AIS-BN are three variants of stochastic sampling, one class of approximate inference for Bayesian networks. We summarize the ideas underlying each algorithm and the relationship among them. The results from a set of empirical experiments comparing Logic Sampling, Likelihood Weighting and AIS-BN are presented. We...
Resource Type:: Masters Thesis
Full Text:: instead of estimating the probability of the event directly. In other words, the stochas- tic simulation

An investment valuation and risk assessment of high-density sweet cherry orchards

Creator:: West, Tyler T.
Abstract:: A supply and demand model for the sweet cherry industry in Wasco County, Oregon and two investment valuation models are used to value and assess the risk of investments in high-density sweet cherry orchard establishment and production from the producer perspective. The supply and demand estimation finds the cherry price...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Tyler T. West for the degree of Master of Science in Applied

An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations

Creator:: Eccleston, Bradley R.
Abstract:: Linear solvers are often used to solve neutron diffusion problems. These tools have two significant shortcomings. First, parallel implementations provide only a modest speedup. The operations cannot be divided cleanly between processors. Second, for large matrices they can be very slow. Our primary goal is to find a new method...
Resource Type:: Masters Thesis
Full Text:: Applied to Neutron Diffusion Equations Redacted for privacy AN ABSTRACT OF THE THESIS OF Bradley R

Monte Carlo study of several methods for estimating linear demand for outdoor recreation from censored and truncated data

Creator:: Riyadi, Dedi M. M. (Dedi M. Masykur)
Abstract:: Objective of this study was to compare accuracy of several travel cost methods, by employing Monte Carlo simulations in the single site framework. Estimates from five methods were compared to the "true" travel cost coefficient and "true" consumer surplus. Each method was ranked, using the root mean squared error (RMSE)...
Resource Type:: Dissertation
Full Text:: was applied to one of two kinds of travel cost data: censored data that includes both users and non

Beehive model creation for use in determining radiation dose to beeswax and bee larvae

Creator:: Jia, Junwei
Abstract:: Honeybees and honey combs are good indicators of environmental contamination and can be important for dose calculations. In the event of reactor accidents and nuclear weapon testing, the released radioactive materials are likely to be transported through various environmental pathways as well as by humans and animals, including bees. Due...
Resource Type:: Masters Thesis
Full Text:: thesis_master_2017-3 AN ABSTRACT OF THE THESIS OF

Application of Advanced Hybrid Transport Methods for Nonproliferation Test Problems

Creator:: Somasundaram, Elanchezhian
Abstract:: The implementation of advanced hybrid (Monte Carlo/Deterministic) transport methods for realistic test problems has been a challenge due to the overhead efforts associated with interfacing a solution generated by a deterministic solver with a Monte Carlo based radiation transport code. In this work, with the help of Transpire, Inc., a...
Resource Type:: Dissertation
Full Text:: individually and when applied together. The behavior of the methods for different configurations of the

Hybrid classical-quantum dose computation method for radiation therapy treatment planning

Creator:: Colburn, Gabriel G.
Abstract:: Radiation therapy treatment planning and optimization requires accurate, precise, and fast computation of absorbed dose to all critical and target volumes in a patient. A new method for speeding up the computational costs of Monte Carlo dose calculations is described that employs a hybrid classical-quantum computing architecture. Representative results are...
Resource Type:: Masters Thesis
Full Text:: Radiation Therapy AN ABSTRACT OF THE THESIS OF Gabriel G. Colburn for the degree of Master of Science

Extending the applicability of implicit Monte Carlo Diffusion : frequency dependence and variance reduction using the difference formulation

Creator:: Cleveland, Mathew A.
Abstract:: The intent of this work is to extend Implicit Monte Carlo Diffusion (IMD)[Gen. 2001] to account for frequency dependence and to incorporate the difference formulation[Szo. 2005] as a source manipulation variance reduction technique. This work shows the derivation of the probabilities and the associated proofs which govern the frequency dependent...
Resource Type:: Masters Thesis
Full Text:: effective scattering events. As the probability of scattering increases, the length of time for a random

The iterative thermal emission Monte Carlo method for thermal radiative transfer

Creator:: Long, Alex R.
Abstract:: For over 30 years, the Implicit Monte Carlo (IMC) method has been used to solve challenging problems in thermal radiative transfer. These problems are typically optically thick and di ffusive, as a consequence of the high degree of "pseudo-scattering" introduced to model the absorption and reemission of photons from a...
Resource Type:: Masters Thesis
Full Text:: of simulated representative photons by sampling from probability distribution functions with pseudo

Optimizing Monte Carlo simulation of the square-well fluid

Creator:: Perlin, Michael A.
Abstract:: We identify and develop efficient Monte Carlo methods for determining thermodynamic properties of the square-well fluid in order to test square-well density functional theories near the critical point. Previous works have developed generic so-called histogram methods for collecting statistics on low energy system states, but little or no literature exists...
Resource Type:: Honors College Thesis
Full Text:: , however, on the relative efficacy of these methods, and few have applied them to simulation of the square

ScholarsArchive@OSU

Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling

An investment valuation and risk assessment of high-density sweet cherry orchards

An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations

Monte Carlo study of several methods for estimating linear demand for outdoor recreation from censored and truncated data

Beehive model creation for use in determining radiation dose to beeswax and bee larvae

Application of Advanced Hybrid Transport Methods for Nonproliferation Test Problems

Hybrid classical-quantum dose computation method for radiation therapy treatment planning

Extending the applicability of implicit Monte Carlo Diffusion : frequency dependence and variance reduction using the difference formulation

The iterative thermal emission Monte Carlo method for thermal radiative transfer

Optimizing Monte Carlo simulation of the square-well fluid

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