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Normal distribution
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#	Item
601	STATISTICS Dalarna University D-level Master’s Thesis 2007 Which estimator of the dispersion parameter for the Gamma family Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2009-11-24 08:00:13 Statistical inference Maximum likelihood Estimator Normal distribution Bias of an estimator Gamma distribution Consistent estimator Generalized linear model Scale parameter Statistics Estimation theory Statistical theory
602	Kernel Conditional Quantile Estimation via Reduction Revisited 1 Novi Quadrianto 1 Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2009-09-24 07:19:48 Econometrics Quantile regression Statistical inference Normal distribution Quantile Bayes estimator Correlation and dependence Errors and residuals in statistics Q-Q plot Statistics Regression analysis Estimation theory
603	arXiv:1401.2838v1 [cs.LG] 13 JanGPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Max Welling Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:04:55 Statistical inference Econometrics Confidence interval Measurement Marginal likelihood Likelihood function Normal distribution Markov chain Maximum likelihood Statistics Estimation theory Bayesian statistics
604	least squares_paperFinal_Adjusted.dvi Add to Reading List Source URL: www.econ.ucla.edu Language: English - Date: 2015-04-06 16:36:04 Econometrics Estimation theory Splines Linear regression Normal distribution Least squares B-spline Fourier series Polynomial interpolation Statistics Regression analysis Interpolation
605	Annealing Between Distributions by Averaging Moments Roger Grosse Comp. Sci. & AI Lab MIT Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Exponentials Exponential family Log-normal distribution Fisher information Normal distribution Statistics Mathematical analysis Probability
606	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 Structure Learning in Markov Random Fields Sridevi Parise Bren School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-09-04 17:32:02 Probability theory Estimation theory Graphical models Marginal likelihood Expectation–maximization algorithm Variational Bayesian methods Normal distribution Maximum likelihood Bayesian network Statistics Bayesian statistics Statistical theory
607	Standard deviation: Standard deviation ( σ ) is defined as the square root of the arithmetic mean of the square of the deviation of the values taken from mean. For an individual series Example: Marks Add to Reading List Source URL: www.websukat.com Language: English - Date: 2012-10-07 11:21:30 Standard deviation Variance Assumed mean Statistical inference Normal distribution Absolute deviation Statistics Data analysis Probability theory
608	Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-02-14 03:02:58 Normal distribution Expectation–maximization algorithm Variational Bayesian methods Bayesian network Markov chain Monte Carlo Maximum likelihood Deviance information criterion Pierre-Simon Laplace Markov random field Statistics Bayesian statistics Marginal likelihood
609	Generality of drought flow characteristics within the Arkansas River Basin Add to Reading List Source URL: profile.usgs.gov Language: English - Date: 2013-07-09 09:06:50 Water Civil engineering Aquifer Hydraulic conductivity Groundwater Log-normal distribution Boussinesq approximation Hydraulic engineering Hydrology Fluid mechanics
610	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring Sungjin Ahn Dept. of Computer Science, UC Irvine, Irvine, CA, USA SUNGJIA @ ICS . UCI . EDU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-05-22 12:55:14 Fisher information Markov chain Monte Carlo Normal distribution Stochastic gradient descent Maximum a posteriori estimation Confidence interval Central limit theorem Score Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood

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