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Estimation
Results: 13071

#	Item
761	The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Statistics Markov models Artificial intelligence Estimation theory Expectationmaximization algorithm Missing data Hidden Markov model BaumWelch algorithm Forward algorithm Cluster analysis Mixture model
762	EE103, FallS. Boyd Homework 5 Don’t forget to include a print copy of your Julia code where required. Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-02 22:15:51 Statistics Mathematical analysis Analysis Regression analysis Estimation theory Least squares Mathematical optimization Multivariate statistics Convolution Multivariate random variable Matrix Linear least squares
763	SAS:SAS Graph Generic Driver Add to Reading List Source URL: ir.missouri.edu Language: English - Date: 2008-05-30 15:38:19 Estimation theory Statistics Statistical theory Libart Likelihood function Maximum likelihood estimation Confidence interval Pell Grant Score
764	CORRELATED RANDOM EFFECTS MODELS WITH UNBALANCED PANELS Jeffrey M. Wooldridge ∗ Department of Economics Michigan State University East Lansing, MI Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2010-11-26 19:25:49 Statistics Regression analysis Estimation theory Analysis of variance Statistical models Econometric modeling Fixed effects model Random effects model Heterogeneity in economics Unobserved heterogeneity in duration models Instrumental variable
765	ROCKY MOUNTAIN JOURNAL OF MATHEMATICS Volume 15, Number 2, Spring 1985 ON THE ESTIMATION OF EIGENVALUES OF HECKE OPERATORS Add to Reading List Source URL: www.mast.queensu.ca Language: English - Date: 2014-02-12 13:51:25 Mathematical analysis Mathematics Modular forms Conjectures Analytic number theory Srinivasa Ramanujan RamanujanPetersson conjecture Mathematical series Hecke operator Dirichlet series Selberg class Fourier transform
766	Improving Variance Estimation in Biometric Systems Ross J. Micheals Image Group, Information Access Division, Information Technology Lab National Institute of Standards and Technology Gaithersburg, MD, USA Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2007-10-07 17:21:58 Statistics Statistical inference Statistical theory Estimation theory Survey methodology Sampling Estimator Stratified sampling Bias of an estimator Resampling Bootstrapping Sample
767	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model
768	Computational Phylogenetics An introduction to designing methods for phylogeny estimation Tandy Warnow Contents Add to Reading List Source URL: tandy.cs.illinois.edu Language: English - Date: 2016-08-21 21:32:55 Computational phylogenetics Phylogenetics Biology Maximum parsimony Phylogenetic tree Unrooted binary tree Sequence alignment Tree alignment Multiple sequence alignment Phylogenetic network Disk-covering method Supertree
769	Mapping of Flood Events and Estimation of River Flow in Latin America and the Caribbean A Joint project by the Darmouth Flood Observatory and the GeoSUR Program Add to Reading List Source URL: www.geosur.info Language: English - Date: 2015-08-19 15:15:19 Water Hydrology Earth Physical geography Earth observation satellites Satellites Moderate-resolution imaging spectroradiometer Environmental chemistry Environmental soil science Geographic information system Flood Satellite imagery
770	Learning Quadratic Forms by Density Estimation and its Applications to Image Coding Hauke Bartsch, Sepp Hochreiter and Klaus Obermayer Dept. of Computer Science, Technische Universit¨ at Berlin, Germany, Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2006-05-15 05:02:22 Statistics Applied mathematics Image processing Feature detection Computational neuroscience Artificial neural network Mathematical psychology Expectationmaximization algorithm Density estimation Gabor filter Machine learning Sepp Hochreiter

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