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Maximum likelihood estimation
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#	Item
241	Learning to imitate stochastic time series in a compositional way by chaos Accepted in Neural Networks Jun Namikawa Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-23 09:51:20 Markov models Estimation theory Kullback–Leibler divergence Thermodynamics Recurrent neural network Long short term memory Hidden Markov model Maximum likelihood Markov chain Statistics Neural networks Statistical theory
242	Ghostscript wrapper for C:rstumentspsjginal-1.pdf Add to Reading List Source URL: ageconsearch.umn.edu Language: English - Date: 2011-09-29 14:45:52 Estimation theory Heteroscedasticity-consistent standard errors Generalized method of moments Linear regression Instrumental variable Estimator Heteroscedasticity T-statistic Maximum likelihood Statistics Econometrics Regression analysis
243	Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing Nam Pham1 , Raghu K. Ganti1 , Yusuf S. Uddin1 , Suman Nath2 and Tarek Abdelzaher1 1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-12-11 16:36:29 Maximum likelihood Expectation–maximization algorithm Likelihood function Perturbation theory Statistics Estimation theory Mathematical analysis
244	Progress in NUCLEAR SCIENCE and TECHNOLOGY, Vol. 1, pFundamental Study on Neutron Spectrum Unfolding using Maximum Entropy and Maximum Likelihood Method Shigetaka MAEDA1,2, Hideki TOMITA1, Jun KAWARABAY Add to Reading List Source URL: www.aesj.or.jp Language: English* - Date: 2011-03-15 04:26:44 Physics Principle of maximum entropy Entropy Estimation theory Maximum likelihood Normal distribution Neutron detection Inverse problem Statistics Statistical theory Probability and statistics
245	Modelling Changes in the Unconditional Variance of Long Stock Return Series Cristina Amado∗ University of Minho and NIPE Campus de Gualtar, Braga, Portugal Add to Reading List Source URL: creates.au.dk Language: English - Date: 2012-02-14 01:27:27 Autoregressive conditional heteroskedasticity Maximum likelihood Estimator Entailment Likelihood function Estimation theory Statistics Logic
246	Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators Emmanuel J. Cand`es∗ Carlos A. Sing-Long Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2012-10-19 00:38:38 Bias of an estimator Variance Estimator Singular value decomposition Mean squared error Maximum likelihood Singular value Statistics Estimation theory Algebra
247	Some Results on the Ergodicity of Adaptive MCMC Algorithms Omar Khalil Supervisor: Jeffrey Rosenthal September 2, 2011 Add to Reading List Source URL: probability.ca Language: English - Date: 2011-09-03 10:10:47 Markov chain Law of large numbers Maximum likelihood Textual variants in the Gospel of Matthew Statistics Estimation theory Statistical theory
248	Gaussian Markov random fields: Efficient modelling of spatially dependent data Add to Reading List Source URL: www.maths.lth.se Language: English - Date: 2011-05-03 06:23:10 Kriging Multivariate interpolation Estimation theory Covariance matrix Random field Markov random field Gaussian process Maximum likelihood Statistics Geostatistics Interpolation
249	Computing Chernoff ’s distribution Piet Groeneboom1 and Jon A. Wellner2 November 3, 1999 Abstract A distribution which arises in problems of estimation of monotone functions is that of the Add to Reading List Source URL: dutiosb.twi.tudelft.nl Language: English - Date: 2001-04-06 04:00:28 Statistical theory M-estimators Probability and statistics Normal distribution Maximum likelihood Heat equation Beta function Mean difference Statistics Mathematical analysis Estimation theory
250	cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity" - - - William of Ockham, ca 1330 We have seen in some detail how to conduct inferences { test hypotheses, estimate paramete Add to Reading List Source URL: www-biba.inrialpes.fr Language: English - Date: 2004-03-11 14:49:07 Estimation theory Statistical inference Model selection Maximum likelihood Likelihood function Bayesian inference Principle of maximum entropy Likelihood principle Prior probability Statistics Bayesian statistics Statistical theory

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