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Process theory
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171	Christiano FINC 520, Spring 2008 Homework 6, due Thursday, MayConsider the iid Normal stochastic process, {xt } , with Ext = μ and E (xt − μ)2 = σ 2 . Let μl = E (xt − μ)l denote the lth moment about the Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-05-17 12:29:25 Probability distributions Normal distribution Statistical theory Estimation theory Econometrics Bootstrapping T-statistic Generalized method of moments Sampling distribution Skewness Multivariate normal distribution Errors and residuals
172	Automatic Transcription of Piano Music Automatic Transcription of Piano Music Christopher Raphael Univ. of Massachusetts, Amherst Department of Mathematics and Statistic Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2002-08-10 14:15:12 Markov models Hidden Markov model Markov chain Speech recognition BaumWelch algorithm Viterbi algorithm Dynamic programming Stochastic process Image segmentation Forward algorithm Pattern theory
173	J. Fluid Mech), vol. 789, pp. 726–749. doi:jfmc Cambridge University Press 2016 Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2016-02-10 05:23:25 Fisheries Fluid dynamics Mathematical analysis Dipole Electromagnetism Potential theory Reinforcement learning Swarm behaviour Shoaling and schooling Vorticity Q-learning Markov decision process
174	images/test_user_webdesign.eps Add to Reading List Source URL: www.kecl.ntt.co.jp Language: English - Date: 2013-10-02 11:00:05 Probability theory Mathematical analysis Statistical theory Infinitely divisible probability distributions Survival analysis Poisson point process Exponential distribution Latent Dirichlet allocation Expectationmaximization algorithm
175	MODELING AND OPTIMIZATION OF A ROBUST GAS SENSOR Margarita A. Rebolledo C., Sebastian Krey, Thomas Bartz-Beielstein, Oliver Flasch, Andreas Fischbach, J¨org Stork SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany Add to Reading List Source URL: bioma.ijs.si Language: English - Date: 2016-05-13 04:21:47 Regression analysis Econometrics Statistical methods Estimation theory Parametric statistics Linear regression Kriging Gaussian process Least squares Feature selection Lasso Ordinary least squares
176	Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2014-02-16 20:56:29 Robot control Control theory Kalman filter Motion planning Partially observable Markov decision process Robotics Distribution Trajectory optimization
177	1 1a. Do you approve, disapprove or abstain on this NWIP? approve * disapprove * abstain 2 Please also select from one of the following options (note that if no option is selected, the default will be the fir Add to Reading List Source URL: www.tk322.ru Language: English - Date: 2016-05-24 03:42:32 Anarchist theory Politics Object Process Methodology Process management Project management Abstention Political philosophy Business
178	GP-GPIS-OPT: Grasp Planning With Shape Uncertainty Using Gaussian Process Implicit Surfaces and Sequential Convex Programming Jeffrey Mahler1 , Sachin Patil1 , Ben Kehoe2 , Jur van den Berg3 , Matei Ciocarlie4 , Pieter A Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2015-03-10 20:48:52 Statistics Probability Statistical theory Child development Grasp Normal distribution Gaussian process
179	CONFIDENTIAL. Limited circulation. For review only. Tumor Localization using Automated Palpation with Gaussian Process Adaptive Sampling Animesh Garg1,2 , Siddarth Sen2 , Rishi Kapadia2 , Yiming Jen2 , Stephen McKinley3 Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2016-03-30 14:19:42 Medical imaging Signal processing Palpation Physical examination Elastography Image segmentation Normal distribution Gaussian process Estimation theory Magnetic resonance elastography Haptic technology Variance
180	Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2016-04-19 06:54:26 Stochastic processes Statistical models Probability distributions Machine learning Statistical theory Mixture model PitmanYor process Dirichlet process Parametric model Poisson distribution Nonparametric statistics

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