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Maximum likelihood
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361	IEEE SIGNAL PROCESSING LETTERS, VOL. 16, NO. 6, JUNEPREPRINT) Fast multidimensional entropy estimation by k-d partitioning Dan Stowell, Mark D. Plumbley Abstract—We describe a non-parametric estimator for the Add to Reading List Source URL: c4dm.eecs.qmul.ac.uk Language: English - Date: 2009-05-13 08:48:24 Statistical inference M-estimators Robust statistics Maximum likelihood Efficient estimator Estimator Median Consistent estimator Kernel density estimation Statistics Estimation theory Statistical theory
362	Maximum likelihood estimation of length of secret message embedded using ±K steganography in spatial domain Jessica Fridricha , David Soukalb , Miroslav Goljana a Department of Electrical and Computer Engineering; Add to Reading List Source URL: www.ws.binghamton.edu Language: English - Date: 2006-04-26 14:41:51 Estimation theory Normal distribution Variance Maximum likelihood Standard deviation Steganography Statistical hypothesis testing Statistics Statistical inference Data analysis
363	Chapter 1 Heuristics The official dogma on parametric estimation is: Good estimators converge to the right thing and have limiting normal distributions; moreover, the variance of the limiting distribution can’t be sma Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2010-09-07 00:00:23 Consistent estimator Maximum likelihood Fisher information Fisher consistency Loss function Estimator Sufficient statistic Delta method M-estimator Statistics Estimation theory Statistical theory
364	Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-02-16 16:55:39 Machine learning Expectation–maximization algorithm Errors-in-variables models Estimator Kernel density estimation M-estimator Minimax estimator Statistics Estimation theory Maximum likelihood
365	Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent D´epartement d’informatique et recherche op´erationnelle, Universit´e de Montr´eal Abstract Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 18:37:23 Statistical inference Monte Carlo methods Markov models Maximum likelihood Metropolis–Hastings algorithm Estimator Markov chain Multivariate normal distribution Bayesian network Statistics Estimation theory M-estimators
366	Computational Rationalization: The Inverse Equilibrium Problem Kevin Waugh Brian D. Ziebart J. Andrew Bagnell Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA 15213 Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:36 Metalogic Model theory Principle of maximum entropy Maximum likelihood Statistics Statistical theory Probability and statistics
367	On the Generalization of the Likelihood Function and the Likelihood Principle Jan F. Bjornstad Journal of the American Statistical Association, Vol. 91, NoJun., 1996), ppStable URL: http://links.jstor. Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 19:45:58 Bayesian statistics M-estimators Regression analysis Likelihood principle Sufficient statistic Maximum likelihood Empirical Bayes method Likelihood function Covariance Statistics Estimation theory Statistical theory
368	Microsoft Word - Acctest25a.doc Add to Reading List Source URL: www.prodsyse.com Language: English - Date: 2007-09-13 19:35:08 Design of experiments Statistical theory Reliability engineering Survival analysis Normal distribution Statistical hypothesis testing Type I and type II errors Confidence interval Maximum likelihood Statistics Hypothesis testing Statistical inference
369	Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences Riccardo Scarpa and Mara Thiene ABSTRACT. Rock climbers are likely to exhibit preference het Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2007-12-20 14:10:55 Categorical data Regression analysis Transportation planning Discrete choice Choice modelling Mixed logit Trip distribution Maximum likelihood Logit Statistics Statistical models Estimation theory
370	EFFICIENT ML DETECTION FOR MIMO CHANNELS: ORDERED SPHERE DECODING Karen Su and Ian J. Wassell, Cambridge University Engineering Department Key words to describe the work: Sphere decoding, Maximum Likelihood (ML) detectio Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2007-06-29 06:52:50 Information Data transmission Electronic engineering IEEE 802 MIMO Software-defined radio Quadrature amplitude modulation Additive white Gaussian noise 4G Telecommunications engineering Radio resource management Information theory

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