Mixture models for describing some strange looking datasets

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Date: 2014-08-20 04:20:15 Statistical models Statistical theory Expectation–maximization algorithm Missing data Mixture model Maximum likelihood Least squares Normal distribution Mixture distribution Statistics Estimation theory Regression analysis		Mixture models for describing some strange looking datasets Add to Reading List Source URL: www.rsc.org Download Document from Source Website File Size: 127,05 KB Share Document on Facebook

	! Ecole Doctorale des Sciences Fondamentales Title of the thesis: Resolution of non-linear systems using Least-squares type methods. Supervisor : Arnaud Münch Laboratory : UMR 6620 – Laboratoire de Mathématiques - C DocID: 1xW2L - View Document
	July 31, 2002 To appear in J. of DEDS LEAST SQUARES POLICY EVALUATION ALGORITHMS WITH LINEAR FUNCTION APPROXIMATION1 DocID: 1vp3G - View Document
	Neurocomputing, vol.80, pp, Importance-Weighted Least-Squares Probabilistic Classifier for Covariate Shift Adaptation with DocID: 1vnb3 - View Document
	Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation DocID: 1viXU - View Document
	FILTRANE, a Fortran 95 Filter-Trust-Region Package for Solving Nonlinear Least-Squares and Nonlinear Feasibility Problems NICHOLAS I. M. GOULD Rutherford Appleton Laboratory and DocID: 1uV8s - View Document