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Estimation theory
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#	Item
741	Bayesian Learning via Stochastic Gradient Langevin Dynamics Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-05-21 11:48:52 Computational statistics Stochastic optimization Statistical mechanics Estimation theory Markov chain Monte Carlo Langevin dynamics Stochastic approximation Metropolis–Hastings algorithm Mixture model Statistics Probability and statistics Monte Carlo methods
742	Paper to be presented at the DRUID 2011 on INNOVATION, STRATEGY, and STRUCTURE Organizations, Institutions, Systems and Regions at Copenhagen Business School, Denmark, June 15-17, 2011 Add to Reading List Source URL: druid8.sit.aau.dk Language: English - Date: 2011-05-24 18:07:38 Estimation theory Design Parametric statistics Innovation Linear regression Errors and residuals in statistics Service innovation Ordinary least squares Function Statistics Regression analysis Econometrics
743	Measuring Convergence using Dynamic Equilibrium Models: Evidence from Chinese Provinces∗ Lei Pan(a) , Olaf Posch(b,c) and Michel van der Wel(c,d) (a) Wageningen University (b) Aarhus University, (c) CREATES, (d) Add to Reading List Source URL: www.oposch.com Language: English - Date: 2012-05-30 13:00:12 Economic growth Neoclassical growth model Estimation theory Maximum likelihood Convergence Series Statistics Macroeconomics Economics Statistical theory
744	On the Simultaneous Analysis of Clinical and Omics Data - a Comparison of Globalboosttest and Pre-validation Techniques Margret-Ruth Oelker and Anne-Laure Boulesteix Abstract In medical research biostatisticians are oft Add to Reading List Source URL: www.ibe.med.uni-muenchen.de Language: English - Date: 2012-08-18 19:00:07 Non-parametric statistics Machine learning Estimation theory Linear regression Resampling Cross-validation Intelligence quotient Statistical power Boosting Statistics Econometrics Regression analysis
745	A study of scale effect on specific sediment yield in the Loess Plateau, China Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2010-12-13 22:35:28 Estimation theory Bayesian statistics Weather prediction Data analysis Control theory Data assimilation Ensemble Kalman filter Singular value decomposition Principal component analysis Statistics Algebra Mathematics
746	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.cixug.es Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
747	Approximate Parameter Learning in Discriminative Fields Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:54 M-estimators Econometrics Bayesian statistics Maximum likelihood Likelihood function Loss function Statistics Estimation theory Statistical theory
748	Three Essays on Earnings Dynamics by Ying Shang Add to Reading List Source URL: qspace.library.queensu.ca Language: English - Date: 2015-04-27 09:21:01 Econometrics Quantile regression Quantile Statistic Estimation theory Statistics Regression analysis Statistical inference
749	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 Statistical theory Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Fisher information Variational Bayesian methods Marginal likelihood Mixture model Statistics Estimation theory Bayesian statistics
750	Continuous Time Stochastic Modeling in R User’s Guide and Reference Manual CTSM-R Development Team CTSM-R Version 1.0.0 Add to Reading List Source URL: ctsm.info Language: English - Date: 2015-04-17 10:25:27 Markov models Maximum likelihood Scientific modelling Likelihood function R Kalman filter Akaike information criterion Statistics Estimation theory Statistical theory

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