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Maximum likelihood estimation
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#	Item
511	Part A Statistics HT 2015 Problem Sheet 1 1. Let X1 , . . . , Xn be a random sample from a uniform distribution with probability density Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-01-13 11:05:42 Statistical theory Exponentials Q-Q plot Quantile Exponential distribution Order statistic Maximum likelihood Fisher information Weibull distribution Statistics Estimation theory Summary statistics
512	Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling Ying Lin∗ Department of Linguistics University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: dingo.sbs.arizona.edu Language: English - Date: 2005-05-03 02:03:46 Markov chain Monte Carlo Markov models Estimation theory Gibbs sampling Normal distribution Maximum likelihood Optimality theory Sampling distribution Random variable Statistics Statistical theory Probability and statistics
513	Part A Statistics HT 2015 Problem Sheet 2 1. What is the connection between Fisher’s information and the asymptotic distribution of the Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-01-28 12:03:12 Statistical inference Estimation theory Normal distribution Confidence interval Q-Q plot Variance Maximum likelihood Standard deviation Gamma distribution Statistics Data analysis Summary statistics
514	Part A Statistics HT 2015 Problem Sheet 3 1. The heart rate (beats per minute) of 10 children was measured in two situations: (i) at rest, Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-06 07:32:28 Statistical tests Maximum likelihood Likelihood-ratio test Normal distribution Econometrics Statistics Statistical theory Estimation theory
515	1 The Latent Maximum Entropy Principle 2 3 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:25:18 Information theory Estimation theory Bayesian statistics Randomness Expectation–maximization algorithm Principle of maximum entropy Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Probability and statistics Statistical theory
516	Joint 3D Estimation of Objects and Scene Layout Andreas Geiger Karlsruhe Institute of Technology Christian Wojek Add to Reading List Source URL: www.cvlibs.net Language: English - Date: 2012-03-05 09:32:53 Vision Artificial intelligence Robot control Visual effects Object recognition Pose Expectation–maximization algorithm 3D modeling Maximum likelihood Computer vision Statistics Estimation theory
517	CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/ Add to Reading List Source URL: www.econ.ku.dk Language: English - Date: 2015-05-01 01:34:50 Extremum estimator Estimator M-estimator Generalized method of moments Efficiency Linear regression Least squares Efficient estimator Fisher consistency Statistics Estimation theory Maximum likelihood
518	Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {whitem,junfeng.wen,mbowli Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-01-15 16:29:05 Time series analysis Econometrics Autoregressive–moving-average model Noise Autoregressive conditional heteroskedasticity Expectation–maximization algorithm Maximum likelihood Kalman filter Normal distribution Statistics Statistical theory Estimation theory
519	HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT? David J.C. MacKay Cavendish Laboratory, Cambridge, CB3 0HE. United Kingdom. Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:30 Estimation theory Statistical inference Normal distribution Mixture model Hyperparameter Maximum likelihood Variational Bayesian methods Least squares support vector machine Statistics Bayesian statistics Statistical theory
520	RELIABILITY ANALYSIS METHODS FOR CALIBRATION INTERVALS: ANALYSIS OF TYPE III CENSORED DATA1 Dennis H. Jackson, Ph.D. Naval Weapon Station, Seal Beach, Corona Annex Corona, CaliforniaHoward T. Castrup, Ph.D. Add to Reading List Source URL: www.isgmax.com Language: English - Date: 2009-11-19 22:38:00 Statistical inference Failure Reliability engineering Exponential distribution Confidence interval Standard error Maximum likelihood Likelihood function Normal distribution Statistics Survival analysis Estimation theory

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