Huillet, T.: Unordered and ordered sample from Dirichlet distribution. Ann. Inst. Stat. Math. 57(3), 597- 616 (2005)Huillet, T.: Unordered and ordered sample from Dirichlet distribution. Ann. Inst. Stat. Math. 57 (3), 597–616 (2005)...
The results obtained are in accordance with the ones found in sampling theory from random proportions with GEM(γ) distribution. These can be obtained from Dirichlet model when considering the Kingman limit n ↑∞, π↓0 while n π=γ>0. 展开 ...
Within each sample, we first simulate the sample shift from a multivariate Gaussian and simulate the proportions of the different QC cell types via a Dirichlet distribution (p_jk). We also simulate what proportion of cells in this sample are outliers, p_out_j, from a beta distribution with ...
Generalized Dirichlet distributions have a more flexible covariance structure than Dirichlet distributions, and the computation for the moments of a generalized Dirichlet distribution is still tractable. For situations under which Dirichlet distributions are inappropriate for data analysis, generalized Dirichlet ...
The data are assumed to come from two independent binomial distributions, while the parameter of interest is the difference between the two success probabilities, . To formulate our prior knowledge on the parameters, a Dirichlet prior is used. Monte Carlo integration is used in the computation and...
Assuming that you want integers (if not then look at the Dirichlet distribution) then this can be thought of as a ball and urn problem (without further restrictions on relationship between the numbers). If you want 20 numbers then that can be represented by 20 urns. You want the numbers ...
Wiener measurepath integralWe obtain representations for the solution of the Cauchy-Dirichlet problem for the diffusion equation with drift in a domain on a... YA Butko - 《Mathematical Notes》 被引量: 29发表: 2008年 加载更多研究点推荐WIENER...
In the multivariate one sample location problem, the theory of permutation distribution under sign-invariant transformations is extended to a class of rank order statistics, and this is utilized in the formulation of a genuinely distribution free class of rank order tests for location (based on Cher...
Given that climate-change risk can be measured along a multitude of dimensions, ref [25] apply the Latent Dirichlet Allocation (LDA) technique, an unsupervised textual-analysis method, to anatomize climate-change risks and contrive climate-risk factors. The LDA technique initially was developed by...
Extending such estimation to distributions such as Dirichlet-Multinomial or multivariate Poisson where the covariance matrix is parameterized through the mean is very challenging. Hypothesis tests for covariance matrices have primarily been developed by studying the asymptotic properties of traditional test ...