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Robust statistics
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#	Item
951	STRUCTURED DISCRIMINATIVE MODELS FOR NOISE ROBUST CONTINUOUS SPEECH RECOGNITION A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge, CB2 1PZ, UK {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-03-11 04:23:32 Probability and statistics Science Markov models Statistical models Computer accessibility Speech recognition Generative model Hidden Markov model Discriminative model Machine learning Computational linguistics Statistics
952	Optimal Feature Spaces for Noise-Robust Speech Recognition rogier c. van dalen Girton College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:13 Estimation theory Regression analysis Econometrics Statistical models Markov chain Hidden Markov model Linear regression Maximum likelihood Mixture model Statistics Probability and statistics Markov models
953	A Variational Perspective on Noise-Robust Speech Recognition R. C. van Dalen, M. J. F. Gales Department of Engineering, Cambridge University Cambridge, UK {rcv25,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:35:56 Statistical models Kullback–Leibler divergence Thermodynamics Maximum likelihood Normal distribution Hidden Markov model Mixture model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
954	Skeptical and Optimistic Robust Priors for Clinical Trials John Cook.∗ Jairo F´ uquene. † Luis Pericchi Guerra.‡ Add to Reading List Source URL: www.johndcook.com Language: English - Date: 2013-07-09 18:24:13 Prior probability Normal distribution Robust Bayes analysis Bayesian inference Bayes factor Likelihood function Posterior probability Statistics Bayesian statistics Conjugate prior
955	Derivative Kernels for Noise Robust ASR A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge CB2 1PZ, U.K. {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-12-20 07:22:29 Computational linguistics Speech recognition Markov models Bioinformatics Hidden Markov model Generative model Discriminative model Conditional random field N-gram Machine learning Statistics Probability
956	Office of Population Research Princeton University WORKING PAPER SERIES Outlier Detection and Editing Procedures for Continuous Multivariate Data Add to Reading List Source URL: opr.princeton.edu Language: English - Date: 2003-11-10 12:18:27 Data analysis Outlier Multivariate normal distribution Univariate Normal distribution Multivariate Student distribution Mahalanobis distance Plot Expectation–maximization algorithm Statistics Robust statistics Estimation theory
957	Structured Support Vector Machines for Noise Robust Continuous Speech Recognition Shi-Xiong Zhang and Mark Gales Department of Engineering, University of Cambridge, Cambridge, UK {sxz20, mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:21:15 Statistical classification Support vector machines Bioinformatics Markov models Hidden Markov model Structured SVM Speech recognition Conditional random field Maximum likelihood Statistics Machine learning Probability and statistics
958	IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING 1 Extended VTS for Noise-Robust Speech Recognition Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:14 Noise Computer vision Linear algebra Estimation theory Regression analysis Speech recognition Cross-covariance Image noise Vector space Algebra Statistics Mathematics
959	Department of Engineering 1 A variational perspective on noise-robust speech recognition R. C. van Dalen Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:17 Kullback–Leibler divergence Thermodynamics Markov models Maximum likelihood Normal distribution Mixture model Hidden Markov model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
960	Predicting Global Stock Returns Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2008-07-08 15:29:00 Estimation theory Regression analysis Parametric statistics Normal distribution T-statistic Estimator Capital asset pricing model Robust statistics Statistics Econometrics Statistical inference

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