Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Multinomial sampling"”.
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An efficient multinomial sampling algorithm for spatially distributed stochastic particle simulations
… This particle-resolved method is based on a multinomial sampling algorithm which calculates the number of particles transferred between adjacent sub-volumes in the domain at each time-step. The particle-resolved method is compared with the traditional finite volume and Monte Carlo methods. …
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Structural Equation Modeling of Binary Preference Data
… testing sparse binary contingency tables under multinomial sampling is proposed. These statistics are used to assess the goodness of fit of Thurstonian models for binary preference data.
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Bayesian model determination for categorical data survey
… data, developed under the assumption of multinomial sampling, is inadequate as the commonly used sampling schemes clearly violate this assumption. Since, Kish (1965) introduced the idea of a design effect, many classical solutions have been proposed, such as, first- and second-order …
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Non-parametric bayesian methods for structured topic models
… to multiple input distributions. 2. Two Gibbs sampling algorithms for the PDP in a finite state space: these two samplers are based on the Chinese restaurant process that provides an elegant analogy of incremental sampling for the PDP. The first, a two-stage Gibbs sampler, arises from a table …
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Non-parametric bayesian methods for structured topic models
… to multiple input distributions. 2. Two Gibbs sampling algorithms for the PDP in a finite state space: these two samplers are based on the Chinese restaurant process that provides an elegant analogy of incremental sampling for the PDP. The first, a two-stage Gibbs sampler, arises from a table …