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Time series models
Results: 405

#	Item
61	Gaussian Process Models for Nonlinear Time Series Roger Frigola Carl E. Add to Reading List Source URL: www.rogerfrigola.com Language: English - Date: 2015-05-07 20:59:33
62	U:MDLECR.4-ISSUESLECR-0(0)LECR944467.DVI Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2014-11-21 10:36:19 Statistical forecasting Time series analysis Forecasting Time series models Monetary policy Autoregressive model Random walk Factor analysis
63	A Specification Test for Time Series Models by a Normality Transformation Jin-Chuan Duan∗ (First Draft: MayThis Draft: Oct 2003) Add to Reading List Source URL: www.rmi.nus.edu.sg Language: English - Date: 2012-10-16 20:34:30
64	Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes ¨ ¨ Thomas Lowe Student Member, IEEE, Emmy-Charlotte Forster Add to Reading List Source URL: graphics.tu-bs.de Language: English - Date: 2015-10-22 08:45:41 Model selection Time series analysis Signal processing Statistical models Noise Akaike information criterion HannanQuinn information criterion Bayesian information criterion Autoregressive model Predictive analytics Unit root Autocorrelation
65	Statistics, Data Mining and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data ˇ ´, Andrew J. Connolly, Jacob T. VanderPlas Zeljko Add to Reading List Source URL: www.astroml.org Language: English - Date: 2014-01-27 13:51:41 Statistics Software Knowledge Formal sciences Estimation theory Statistical theory Machine learning Statistical models Time series Regression analysis Linear regression Statistical inference
66	Supplementary materials for this article are available online. Please go to www.tandfonline.com/r/JASA Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice Blakeley B. MCSHANE, Shane Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2013-12-23 22:06:02 Markov models Probability Mathematical analysis Markov chain Sleep Memorylessness Rapid eye movement sleep Stochastic matrix Forwardbackward algorithm Joint probability distribution Non-rapid eye movement sleep Expected value
67	Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-11-08 23:50:48 Statistics Analysis Data Statistical models Multivariate statistics Signal processing Data analysis Independent component analysis Time series analysis Additive white Gaussian noise Gaussian function Positive-definite kernel
68	Microsoft Word - Abstract Jin-Chuan Duan.docx Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English Noise Time series models Conservation laws Physical quantities Fixed income market Autoregressive model Momentum Yield curve Economic model
69	Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes ¨ ¨ Thomas Lowe Student Member, IEEE, Emmy-Charlotte Forster Add to Reading List Source URL: www.cg.cs.tu-bs.de Language: English - Date: 2015-10-22 08:45:41 Model selection Time series analysis Signal processing Statistical models Noise Akaike information criterion HannanQuinn information criterion Bayesian information criterion Autoregressive model Predictive analytics Unit root Autocorrelation
70	Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning The International Journal of Robotics Research Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2016-05-13 21:43:53 Markov models Estimation theory Cluster analysis Machine learning Mixture model Image segmentation Hidden Markov model Expectationmaximization algorithm Markov chain K-means clustering Time series

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