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Maximum likelihood
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#	Item
31	Structural Graphical Lasso for Learning Mouse Brain Connectivity Sen Yang Qian Sun Add to Reading List Source URL: peterwonka.net Language: English - Date: 2015-11-20 08:10:54 Statistics Estimation theory Inverse problems Dimension reduction Maximum likelihood estimation Lasso Graphical lasso Feature selection Estimation of covariance matrices Regularization Matrix Loss function
32	(Karsten Tabelow , Henning U. Voss , Jörg Polzehl Local estimation of noise standard deviation in Add to Reading List Source URL: www.wias-berlin.de Language: English - Date: 2014-06-02 11:30:03 Statistics Data analysis Diffusion MRI Imaging Magnetic resonance imaging Neuroimaging Tensors Maximum likelihood estimation Standard deviation Estimation theory
33	C:/Users/Utente/Desktop/PhD/CAL_tex/ISMIR2010_DTM/ISMIR2010_DTM.dvi Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:39 Statistics Estimation theory Physics Mechanical engineering Cluster analysis Machine learning Mixture model Expectationmaximization algorithm Maximum likelihood estimation Work
34	Maximum Likelihood Estimation of Dirichlet Distribution Parameters Jonathan Huang Abstract. Dirichlet distributions are commonly used as priors over proportional data. In this paper, I will introduce this distribution, d Add to Reading List Source URL: jonathan-huang.org Language: English - Date: 2014-09-08 21:47:30 Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation
35	Ann Inst Stat Math:469–490 DOIs10463Second-order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:43 Statistics Estimation theory Statistical theory Maximum likelihood estimation Efficient estimator Efficiency Estimator Asymptotic theory Ole Barndorff-Nielsen Likelihood function Two-step M-estimators involving MLE Generalized method of moments
36	CHAPTER 6 The Information Function 104 Chapter 6: The Information Function Add to Reading List Source URL: echo.edres.org Language: English - Date: 2003-02-12 10:19:08 Statistics Psychometrics Statistical models Estimation theory Education Item response theory Rasch model Score Differential item functioning Maximum likelihood estimation
37	American Journal of EPIDEMIOLOGY Volume 160 Number 6 September 15, 2004 Add to Reading List Source URL: octavia.zoology.washington.edu Language: English - Date: 2004-09-08 13:15:53 Epidemiology Health Medicine Statistics Severe acute respiratory syndrome SARS coronavirus Serial interval Index case Coronavirus Compartmental models in epidemiology Basic reproduction number Maximum likelihood estimation
38	Technical appendix to “Asymptotic properties of QML estimators for VARMA models with time-dependent coefficients, Parts 1 and 2” ´lard‡. Abdelkamel Alj ∗, Rajae Azrak †, and Guy Me Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2015-12-09 17:49:49 Statistics Statistical theory Estimation theory Maximum likelihood estimation Symbol
39	doi:j.cub Add to Reading List Source URL: color.psych.upenn.edu Language: English - Date: 2009-02-19 12:49:05 Statistics Statistical theory Model selection Scientific modeling Estimation theory Statistical models Akaike information criterion Bayesian information criterion F-test Parameter Likelihood function Maximum likelihood estimation
40	Chapter 7 Further Methods for Parameter Estimation - Least Squares Together with the maximum likelihood method, the method of least squares (LS or LSQ) is very often used in parameters estimation. In this chapter we wil Add to Reading List Source URL: ihp-lx.ethz.ch Language: English - Date: 2015-03-31 05:26:55 Statistics Mathematical analysis Probability Covariance and correlation Least squares Single-equation methods Variance Covariance Expected value Normal distribution Degrees of freedom Maximum likelihood estimation