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Parametric process
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41	The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies DAVID M. BLEI Princeton University, Princeton, New Jersey AND Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
42	topical workshop on nonlinear quantum photonics PROGRAM WEDNESDAY, 25 FEBRUARY 2015 Add to Reading List Source URL: www.cudos.org.au Language: English - Date: 2015-02-22 17:39:25 Nonlinear optics Spontaneous parametric down-conversion Photon Parametric process Optical parametric oscillator Physics Optics Quantum optics
43	1 Continuous Goodness of Fit Testing: Old Problem, New Ideas Amit Moscovich Eiger Supervisor: Boaz Nadler Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-03-18 20:19:53 Normality tests Empirical process Kolmogorov–Smirnov test Empirical distribution function Andrey Kolmogorov Goodness of fit KS Statistics Non-parametric statistics Statistical tests
44	Sample Complexity and Performance Bounds for Non-parametric Approximate Linear Programming Jason Pazis and Ronald Parr Department of Computer Science, Duke University Durham, NC 27708 {jpazis,parr}@cs.duke.edu Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2013-04-10 17:56:12 Systems theory Dynamic programming Equations Operations research Stochastic control Lipschitz continuity Optimal control S0 Markov decision process Statistics Mathematical optimization Control theory
45	Fast algorithms for Gaussian processes Michael O’Neil New York University, USA Email: [removed] Gaussian processes are one class of stochastic process that provides a straightforward generalization of random v Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2014-10-15 04:26:59 Non-parametric statistics Normal distribution Random variable Stochastic process Multivariate normal distribution Kernel Statistics Gaussian process Probability theory
46	3-4 Generation and Application of QuantumCorrelated Twin Beams KASAI Katsuyuki, ZHANG Yun, and SASAKI Masahide The signal and idler beams from a non-degenerate, above threshold, optical parametric oscillator have a stron Add to Reading List Source URL: www.nict.go.jp Language: English - Date: 2013-11-21 18:45:01 Nonlinear optics Quantum mechanics Optical parametric oscillator Laser science Photon Quantum noise Spontaneous parametric down-conversion Parametric process Shot noise Physics Optics Quantum optics
47	Representing Uncertainty in Ranking by Single or Multiple Indicators Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:38:08 Statistical inference Non-parametric statistics Diagrams Process management Sensitivity analysis Resampling Uncertainty Hasse diagram Bootstrapping Statistics Science Measurement
48	A Parametric Approach for Estimating Core Inflation and Interpreting the Inflation Process* Mikael Apel, Per Jansson Sveriges Riksbank, S[removed]Stockholm, Sweden Add to Reading List Source URL: www.bis.org Language: English - Date: 2005-12-12 06:16:57 Monetary policy Money Phillips curve Monetary inflation Core inflation Interest Monetary policy reaction function Stagflation Inflation Economics Macroeconomics
49	A Bayesian Nonparametric Approach to Clustering Data from Underwater Robotic Surveys Daniel M. Steinberg, Ariell Friedman, Oscar Pizarro and Stefan B. Williams Abstract The use of robots for scientific mapping and explo Add to Reading List Source URL: www.isrr-2011.org Language: English - Date: 2011-08-18 11:40:14 Statistical models Statistical theory Cluster analysis Expectation–maximization algorithm Variational Bayesian methods Dirichlet process Mixture model Parametric model Bayesian inference Statistics Bayesian statistics Machine learning
50	2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 Semi-parametric Models for Visual Odometry Vitor Guizilini and Fabio Ramos Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:39 Visual odometry Robot control Kalman filter Egomotion Optical flow Bundle adjustment Omnidirectional camera Regression analysis Gaussian process Statistics Surveying Robotic sensing

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