The second context in which the pseudo-likelihood approach is useful is the parametric situation where a likelihood function is available but numerically untractable. The third situation in which the pseudo-lik
of pseudo-likelihood function, which is similar in form to one of the tests we will present below. Suppose we are interested in testing the null hypothesis H 0 :γ = γ 0 , where γ is an r-dimensional subvector of the vector of regression parameters θ and write θ as (γ ,δ )...
A pseudo-likelihood is a function of the data and parameters, which has properties similar to those of a likelihood function. Its primary use is to define an estimating equation by setting a pseudo-score function to zero. Examples are given....
A pseudo-likelihood procedure is described for estimating parameters and the corresponding cumulative hazard function. The large sample properties, such as consistency and weak convergence, for such pseudo-likelihood estimators are presented. We also conduct simulation studies to show that the proposed ...
...uasi-likelihood)的一种推广,是一种伪似然(Pseudo-likelihood)方法。 www.360doc.com|基于2个网页 2. 拟似然 pseudo random binary sequences_翻译 ... 伪科学: Pseudo-science拟似然:Pseudo-likelihood二分法: Binary Search ... paper.dic123.com|基于 1 个网页 ...
For estimating the ROC curve,we use the method of pseudo-likelihood estimate and local polynomial fitting to estimate the unknown function and the parameters. 本文考虑检测结果的均值服从位置尺度模型,且均值经过一个未知的函数变化与协变量有线性关系的模型,并用伪似然估计和局部线性方法估计该未知的函数和...
function and a covariance function. The covariance function is defined over latent function values of a pair of inputs and is evaluated using the Mercer kernel function over the pair of inputs. The covariance function expresses some general properties of functions such as their smoothness, and ...
Hence, the extremal coefficient is reported as a function of the interdistance between stations. If it is less than 1.7, stations are interpreted as dependent in the extremes. The analysis of the fitted extremal coefficients with respect to stations inter distance highlights two regimes with ...
For estimating the ROC curve,we use the method of pseudo-likelihood estimate and local polynomial fitting to estimate the unknown function and the parameters. 本文考虑检测结果的均值服从位置尺度模型,且均值经过一个未知的函数变化与协变量有线性关系的模型,并用伪似然估计和局部线性方法估计该未知的函数和...
The running time of PSEUDOMARKER depends on the number of times the optimization algorithm evaluates any likelihood function. Each evaluation involves computation over one or, often, several pedigrees for fixed values of certain parameters that may include the recombination fraction and marker allele fre...