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Showing 1 to 20 of 359 for “"Dirichlet"”.
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Linkage Based Dirichlet Processes
… (MCMC) algorithms for large parameter spaces. Dirichlet Process Mixture Models (DPMMs) have become a Bayesian mainstay for modeling heterogeneous structures, namely clusters, especially when the quantity of clusters is not known with the established MCMC methods. As opposed to many ad-hoc …
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Dirichlet Multiplication in Lattice-Point Problems
Made available in DSpace on 2014-12-05T21:50:08Z (GMT). No. of bitstreams: 1 0023398.pdf: 1969440 bytes, checksum: 07c3467d9c565f75e5a274fd75a7aa9f (MD5) Previous issue date: 1957
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Using Dirichlet Process Priors For Bayesian Mixture Clustering
… that follow multinomial distributions. The Dirichlet Process is applied as the prior distribution. The method estimates the number of populations together with the allele frequencies and the ancestry coefficients of each individual. Distance matrices and bootstrap support numbers based on …
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Application of Dirichlet Distribution for Polytopic Model Estimation
… the set of PM weights as a random vector with Dirichlet Distribution (DD). A new approximate (adaptive) PM estimator, referred to as a Quasi-Bayesian Adaptive Kalman Filter (QBAKF) is derived and implemented. The model weights and state estimation in the QBAKF is performed adaptively by a …
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Infinitely Many Solutions to Asymmetric, Polyharmonic Dirichlet Problems
… Our main theorems focus on polyharmonic Dirichlet problems with exponential nonlinearities, and are now published in Topol. Methods Nonlinear Anal. Vol. 50, No.1, (2017), 27-63. In chapter 1 we give an introduction to the problem, its history, and the perturbation argument itself. In …
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Temporally Correlated Dirichlet Processes in Pollution Receptor Modeling
… by modeling source profiles as a time-dependent Dirichlet process. The Dirichlet process (DP) pollution model developed herein is evaluated using several simulated data sets. In the presence of time-varying source profiles, the DP model more accurately estimates source profiles and source …
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Characterizing smoothness of solutions with respect to boundary data of Dirichlet-nonlocal-Dirichlet boundary value problems for third order ordinary differential equations.
… is to establish analogues of Peano's Theorem for Dirichlet-nonlocal-Dirichlet conditions in third order ordinary differential equations. We begin by establishing the difference quotient, followed by a telescoping sum, allowing us to set up a linear system of equations in two unknowns to establish …
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A STUDY OF DE BRANGES - ROVNYAK AND DIRICHLET SPACES
… and in the harmonically weighted Dirichlet spaces $\mathcal{D}_\mu$, an important generalization of the classical Dirichlet space $\mathcal{D}$. Special attention is given to a specific subclass of $H(b)$ spaces, the so-called \emph{model spaces} $K_u$. The first chapter contains …
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Kritische spezifische Wärme in begrenzten Systemen mit Dirichlet-Oberflächen
… order parameter on the surface, the so-called Dirichlet boundary conditions. For the first time the surface specific heat is calculated to next to leading order in a fixed dimension both above and below the critical temperature. The results are compared with the data of recent experiments on …
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Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models
… Bayesian approaches to quantile regression usingDirichlet process mixture (DPM) models. All the existing quantile regression methodsbased on DPMs require the kernel density to satisfy the quantile constraint, hence thekernel densities are themselves usually in the form of mixtures. One innovation …
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Probability and a Dirichlet Problem for Multiply Superharmonic Functions
Made available in DSpace on 2014-12-09T22:17:36Z (GMT). No. of bitstreams: 1 6706765.pdf: 4156902 bytes, checksum: 4fedc0d75a316ec5976c4b6b3c884c23 (MD5) Previous issue date: 1966
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Multiscale and Dirichlet Methods for Supply Chain Order Simulation
… is unique in that it relies extensively on Dirichlet and multiscale methods to tackle supply-chain order simulation. Multiscale model methodology is furthered to include Dirichlet models which are used to simulate order times for each customer and the collective system on different scales.
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On the Summatory Functions of a Class of Dirichlet Series
Made available in DSpace on 2014-12-14T13:09:33Z (GMT). No. of bitstreams: 1 7709153.pdf: 3320802 bytes, checksum: 850b85e19c4d4c1dcd96f4919a30e96a (MD5) Previous issue date: 1976
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Integrable Evolution Partial Differential Equations: Multidimensions and Dirichlet-to-Neumann Maps
… equations in 4+2 dimensions. B. Determining the Dirichlet-to-Neumann map for evolution PDEs on the half-line with time-periodic boundary conditions For a well-posed boundary value problem, a certain number of boundary values must be prescribed as boundary conditions, while the rest of the …
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Cluster analysis of microbiome data via mixtures of Dirichlet-multinomial regression models
… is an active area of research. Previously, a Dirichlet-multinomial regression framework has been suggested to model this relationship, but it did not account for any latent group structure which has been observed across microbiome samples which share similar biota compositions (known as …
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Proceso de Poisson-Dirichlet: entropía y tiempos de aparición de nuevas especies
… Para esto, se estudia el Proceso de Poisson-Dirichlet de dos parámetros, que es un modelo Bayesiano no paramétrico que permite generar particiones aleatorias de infinitas componentes. Este proceso tiene dos propiedades muy importantes: es parcialmente conjugado consigo mismo y es capaz de …
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