EM algorithmRobustnessThe Heckman selection model is widely used to analyse data for which the outcome is partially observable, and the missing part is not random. The 2-step method, maximum likelihood estimation (MLE), and EM algorithms have been developed to analyse this model; however, they ...
PXEM algorithmrandom-effects modelsREMLvariance-component modelsworking parametersIn recent years numerous advances in EM methodology have led to algorithms which can be very efficient when compared with both their EM predecessors and other numerical methods (e.g., algorithms based on NewtonRaphson). ...
ECME and AECM algorithmmodel checking and model selectiondoi:10.1002/0470090456.ch26David A. van DykTaeyoung ParkVAN DYK, D. and PARK, T. (2004). Efficient EM-type algorithms for fitting spectral lines in high-energy astrophysics. In Applied Bayesian Modeling and Causal Inference from ...
We propose a noniterative sampling approach by combining the inverse Bayes formulae (IBF), sampling/importance resampling and posterior mode estimates from the Expectation/Maximization (EM) algorithm to obtain an i.i.d. sample approximately from the posterior distribution for problems where the EM-t...
Convergence of an EM-type algorithm for spatial clustering Ambroise et al. (1996) have proposed a clustering algorithm that is well-suited for dealing with spatial data. This algorithm, derived from the EM algorith... C Ambroise,G Govaert - 《Pattern Recognition Letters》 被引量: 131发表: 19...
This algorithm performs an iterative estimation of the multiplicative fading channel according to the maximum a posteriori criterion. It requires a convenient ... E Jaffrot,M Siala - IEEE International Conference on Acoustics 被引量: 85发表: 2002年 Different Molecular and Structural Adaptations with...
Multi-agent cooperation using the ant algorithm with variable pheromone placement The ant algorithm was created by examining real life ant colonies and developing an algorithm to use the concept of "stigmergy" to approach multi-agent pro... E Borzello,LD Merkle - IEEE Congress on Evolutionary Comp...
While decision analysis and treatment algorithms have repeatedly been shown to improve quality of care in many areas of medicine, no such algorithm has eme... MP Androes,CA Kalbaugh,SM Taylor,... - 《Acc Current Journal Review》 被引量: 25发表: 2005年 Standardization and Requirement of Vita...
Given a limited number of wavelengths and a set, of messages to be routed, the algorithm approximates to within polylogarithmlc factors the optimal number of rounds necessary to route all messages. Previous results for arrays give on1... Y An - Society for Industrial and Applied Mathematics 被...
mixture of regressions; EM algorithm; partial linear models; semi-parametric; local likelihood; label-switching MSC: 62-08 1. Introduction The classical normal linear regression model (CNLRM) is useful for modelling data from a homogeneous population. However, heterogeneous populations, comprised of ...