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Decomposition of time series
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1	Do Seasons Have an Influence on the Incidence of Depression? The Use of an Internet Search Engine Query Data as a Proxy of Human Affect Albert C. Yang1,2,3, Norden E. Huang4, Chung-Kang Peng5, Shih-Jen Tsai2,7 1 Depart Add to Reading List Source URL: reylab.bidmc.harvard.edu Language: English - Date: 2010-11-19 18:16:48 Time series analysis Statistics Statistical theory HilbertHuang transform Signal processing Seasonality Psychiatry Linear trend estimation Decomposition of time series Major depressive disorder Internet privacy Google Search
2	Nonstationarity in Time Series of State Densities1 Yoosoon Chang Department of Economics Indiana University Chang Sik Kim Department of Economics Add to Reading List Source URL: www.eco.uc3m.es Language: English - Date: 2015-03-10 06:23:00 Linear algebra Singular value decomposition Abstract algebra Data analysis Econometrics Eigenvalues and eigenvectors Principal component analysis Vector space Asymptotic theory Algebra Mathematics Statistics
3	DEUTERIUM ARRAY MEMO #045 MASSACHUSETTS INSTITUTE OF TECHNOLOGY HAYSTACK OBSERVATORY WESTFORD, MASSACHUSETTSFebruary 18, 2004 Add to Reading List Source URL: www.haystack.mit.edu Language: English - Date: 2006-04-20 10:01:10 Data analysis Spectrum Decomposition of spectrum Smoothing Mathematics Spectral theory Statistics Time series analysis
4	Proc. of the 6th Int. Conference on Digital Audio Effects (DAFx-03), London, UK, September 8-11, 2003 MUSICALLY EXPRESSIVE SOUND TEXTURES FROM GENERALIZED AUDIO Ben Recht and Brian Whitman MIT Media Lab 20 Ames Street Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:01 Matrix theory Multivariate statistics Singular value decomposition Time series analysis Principal component analysis Non-negative matrix factorization Synthesizer Dynamic time warping Rank Algebra Linear algebra Mathematics
5	Filtering of multivariate time series in the principal component space Ludwik Liszka Swedish Institute of Space Physics Sörfors 634 SUmeå, Sweden Add to Reading List Source URL: www.umea.irf.se Language: English - Date: 2005-11-24 09:31:23 Mathematics Multivariate statistics Data analysis Principal component analysis Eigenvalues and eigenvectors Algebra Statistics Singular value decomposition
6	Nonlinear Principal Component Analysis of Climate Data by Sailes K. Sengupta and James S. Boyle Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore, CA USA Add to Reading List Source URL: www-pcmdi.llnl.gov Language: English - Date: 2004-11-11 17:46:48 Neural networks Time series analysis Singular value decomposition Principal component analysis Artificial neural network Time series Global climate model Seasonality Statistics Computational neuroscience Multivariate statistics
7	A Framework for Comparison of Spatiotemporal and Time Series Datasets (Poster), NREL(National Renewable Energy Laboratory) Add to Reading List Source URL: www.nrel.gov Language: English - Date: 2015-04-07 16:00:35 Principal component analysis Singular value decomposition Bootstrapping Statistical power Statistics Data analysis Statistical inference
8	Pushing the Limit of Non-Profiling DPA using Multivariate Leakage Model Suvadeep Hajra Debdeep Mukhopadhyay Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2013-12-15 14:24:49 Data analysis Singular value decomposition Multivariate statistics Time series analysis Signal processing Principal component analysis Window function Multivariate normal distribution Eigenvalues and eigenvectors Statistics Algebra Mathematics
9	Classical Decomposition Model Revisited: I • recall classical decomposition model for time series Yt, namely, Yt = mt + st + Wt, (∗) Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 12:29:22 Ordinary least squares Generalized least squares Linear regression Linear least squares Least squares Residual sum of squares Covariance Errors and residuals in statistics Heteroscedasticity-consistent standard errors Statistics Regression analysis Gauss–Markov theorem
10	Using Eigenpattern Analysis to Constrain Numerical Fault Models - Applications to Southern California K. F. Tiampo(1), J. B. Rundle(2), S. McGinnis(3), W. Klein(4), and Y. Ben-Zion[removed]CIRES, University of Colorado, Add to Reading List Source URL: quakes.earth.uq.edu.au Language: English - Date: 2003-11-13 02:26:03 Singular value decomposition Time series analysis Multivariate statistics Continuum mechanics Linear algebra Principal component analysis Singular spectrum analysis Karhunen–Loève theorem Interferometric synthetic aperture radar Algebra Statistics Physics