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Stochastic process
Results: 1129

#	Item
681	Microsoft Word - nber_2008_Lecture2_FCLT_TVP_testing_July_21 Add to Reading List Source URL: www.nber.org Language: English - Date: 2008-07-23 16:21:03 Stochastic processes Central limit theorem Spectral theory Equicontinuity Wiener process Continuous mapping theorem Normal distribution Continuous function Spectral theory of ordinary differential equations Mathematical analysis Statistics Mathematics
682	Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models Chong Wang⇤ Machine Learning Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-11-10 21:14:58 Dirichlet process Latent Dirichlet allocation Mixture model Bayesian inference Importance sampling Inference Conjugate prior Hierarchical Bayes model Dirichlet distribution Statistics Bayesian statistics Variational Bayesian methods
683	POMDPs Hal Daumé III Computer Science University of Maryland [removed] CS 421: Introduction to Artificial Intelligence Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-03-13 12:05:47 Stochastic control Partially observable Markov decision process Markov decision process Markov chain Monte Carlo POMDP Markov model Statistics Markov processes Dynamic programming
684	Journal of Machine Learning Research[removed]3232 Submitted 9/12; Revised 7/13; Published[removed]Fast MCMC Sampling for Markov Jump Processes and Extensions Vinayak Rao∗ Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Markov chain Continuous-time Markov process Poisson process Uniformization Hidden Markov model Markov property Gibbs sampling Stochastic process Stochastic matrix Statistics Markov processes Markov models
685	Spatial distance dependent Chinese restaurant processes for image segmentation Soumya Ghosh1 , Andrei B. Ungureanu2 , Erik B. Sudderth1 , and David M. Blei3 1 Department of Computer Science, Brown University, {sghosh,su Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2011-11-29 11:07:08 Cluster analysis Image processing Segmentation Market segmentation Dirichlet process K-means clustering Mixture model Chinese restaurant process Spectral clustering Statistics Stochastic processes Machine learning
686	Distance dependent Chinese restaurant processes David M. Blei Department of Computer Science, Princeton University 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
687	Microsoft Word - nber_2008_Lecture1_SpectralAnalysis_Slides_July_21 Add to Reading List Source URL: www.nber.org Language: English - Date: 2008-07-23 16:20:32 Stationary process Kalman filter Time series White noise Martingale difference sequence Autocovariance Unit root Statistics Stochastic processes Time series analysis
688	Bayesian Analysis[removed], Number 2, pp. 235–272 The Discrete Infinite Logistic Normal Distribution Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Statistical inference Statistical natural language processing Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Gamma distribution Probability distribution Bayesian inference Statistics Bayesian statistics Stochastic processes
689	Understanding User State and Preferences for Robust Spoken Dialog Systems and Location-Aware Assistive Technology by William Li B.A.Sc. Engineering Science, University of Toronto[removed]Submitted to the Engineering Syste Add to Reading List Source URL: rvsn.csail.mit.edu Language: English - Date: 2012-12-28 01:32:32 Markov processes Stochastic control Multimodal interaction User interfaces Partially observable Markov decision process Dialog system Spoken dialog system Dialogue Speech recognition Humanâ€“computer interaction Statistics Dynamic programming
690	DSGE Models: I Smell a Rat (and It Smells Good)∗ Jon Faust Johns Hopkins University and NBER DSGE models have now reached a point where they can and do serve an important role in the monetary policy process. Add to Reading List Source URL: www.ijcb.org Language: English - Date: 2012-03-01 03:39:00 Economics Dynamic stochastic general equilibrium Macroeconomic model General equilibrium theory Economic model Macroeconomics New Keynesian economics New classical macroeconomics

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