1 Mathematics and Computer Science, Oakton College, Des Plaines, USA. 2 Mathematics, Northeastern Illinois University, Chicago, USA. As an example of the construction of processes with continuous time ...
An approximate Bayesian method is developed to study the joint mortality rate of two cancer sites over several geographic areas. A conditionally independent two-stage hierarchical model is used to ...
Background: Environmental and biomedical researchers frequently encounter laboratory data constrained by a lower limit of detection (LOD). Commonly used methods to address these leftcensored data, ...
Abstract: Bivariate shrinkage was a denoising method based on the interscale dependency of wavelet coefficients which using bivariate model as the distribution of the wavelet coefficient and its ...
The Gaussian Mixture Model (GMM) is a special case of the Expectation–Maximisation (EM) Algorithm. This project shows how to derive the E and M steps for the algorithm and then demonstrates its ...
The first step before using the delta_method or parametric_bootstrap functions is to find the optimum parameter values and the parameter covariance matrix. This step can be done using MATLAB's nlinfit ...
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