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Statistical parameter
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#	Item
161	/Users/yunliu/foamdata/EnKF/clmsens/atmbia_org_updt_500mb.eps Add to Reading List Source URL: aos.wisc.edu Language: English - Date: 2015-01-30 23:47:58 Estimation theory Bayesian statistics Statistical forecasting Monte Carlo methods Signal processing Parameter Data assimilation Global climate model Ensemble Kalman filter Atmospheric sciences Statistics Meteorology
162	Nonlin. Processes Geophys., 21, 1145–1157, 2014 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Non-parametric Bayesian mixture of sparse regr Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 10:34:51 Regression analysis Bayesian statistics Estimation theory Linear regression Mixture model Dirichlet process Variational Bayesian methods Normal distribution Parameter Statistics Econometrics Statistical models
163	PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONE Karen R. Marutyan, PhD∗ , Christian C. Anderson, MA† , Keith A. Wear PhD∗∗ , Mark R. Holland, PhD† , James G. Miller, PhD† and G. Larry Brett Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-04-28 12:02:53 Statistical inference Bayesian probability Philosophy of mathematics Philosophy of science Bayesian inference Inverse probability Markov chain Probability Expectation–maximization algorithm Statistics Bayesian statistics Probability interpretations
164	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Hidden Markov model Concentration parameter Normal distribution Topic model Golden ratio Statistics Probability and statistics Statistical natural language processing
165	Exponential Parameter Estimation (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3 Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Estimation theory Statistical inference Bayesian inference Bayesian probability Prior probability Nuisance parameter Maximum likelihood Markov chain Probability Statistics Bayesian statistics Statistical theory
166	PROXYING FOR UNOBSERVABLE VARIABLES WITH INTERNET DOCUMENT-FREQUENCY Albert Saiz Uri Simonsohn Add to Reading List Source URL: opim.wharton.upenn.edu Language: English - Date: 2013-02-25 16:45:59 Statistical dependence Information retrieval Econometrics Scientific method Regression analysis Quantitative research Correlation and dependence Parameter Search engine indexing Science Information science Statistics
167	A nonparametric analysis of the shape dynamics of the US personal income distribution: [removed], October 2005 Add to Reading List Source URL: www.bis.org Language: English - Date: 2005-10-01 18:00:00 Kernel density estimation Density estimation Variable kernel density estimation Mixture distribution Mixture model Normal distribution Estimation theory Mode Parameter Statistics Non-parametric statistics Statistical inference
168	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Statistical inference Latent Dirichlet allocation Dirichlet process Dirichlet distribution Concentration parameter Mixture model Topic model Multinomial distribution Bayesian inference Statistics Statistical natural language processing Bayesian statistics
169	doi:[removed]j.jmr[removed] Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2013-01-10 16:34:21 Signal processing Degrees of freedom Signal-to-noise ratio Estimation theory Parameter Scattering parameters Bayesian inference Statistics Statistical inference Measurement
170	Owls example: a zero-inflated, generalized linear mixed model for count data Ben Bolker, Mollie Brooks, Beth Gardner, Cleridy Lennert, Mihoko Minami October 23, [removed] Add to Reading List Source URL: groups.nceas.ucsb.edu Language: English - Date: 2013-01-11 12:25:47 Statistical methods Actuarial science Econometrics Mixed model Generalized linear model Overdispersion Normal distribution Parameter Poisson distribution Statistics Regression analysis Data analysis

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