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Statistical signal processing
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#	Item
11	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
12	Sparsity-promoting Bayesian inversion Samuli Siltanen Department of Mathematics and Statistics University of Helsinki Inverse Problems and Optimal Control for PDEs Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2011-05-30 05:15:22 Signal processing Timefrequency analysis Wavelet Statistical theory Prior probability Statistics Probability and statistics Inverse problems Probability distributions
13	University of California, Santa Barbara Department of Statistics and Applied Probability PSTAT 262SP Smoothing Spline Models and Their Applications Course Description: This course is about a particular class of modern no Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2005-09-22 16:34:39 Statistics Regression analysis Nonparametric regression Statistical methods Image processing Signal processing Smoothing Spline Generalized additive model Additive model Nonparametric statistics Functional data analysis
14	2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) INDEPENDENT DOUBLY ADAPTIVE REJECTION METROPOLIS SAMPLING Luca Martino? , Jesse Read† , David Luengo‡ ? Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-08-22 09:13:11 Statistics Monte Carlo methods Computational statistics Markov chain Monte Carlo Statistical theory Non-uniform random numbers Rejection sampling MetropolisHastings algorithm Stochastic simulation Gibbs sampling
15	Rob J Hyndman Research publications (2008–2010) Forecasting functional data Exponential smoothing Add to Reading List Source URL: robjhyndman.com Language: English - Date: 2010-03-25 00:47:29 Time series analysis Prediction Statistics Statistical forecasting Time Rob J. Hyndman Signal processing Demand forecasting Forecasting Exponential smoothing Smoothing Time series
16	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
17	Microsoft Word - IJIMA03-01.docx Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:39:32 Prediction Statistics Time Time series models Statistical forecasting Time series analysis Signal processing Estimation theory Forecasting Autoregressive model Time series Linear regression
18	JMLR: Workshop and Conference Proceedings vol 40:1–77, 2015 Learning Overcomplete Latent Variable Models through Tensor Methods Animashree Anandkumar Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Algebra Mathematics Machine learning Linear algebra Statistical models Signal processing Multivariate statistics Higher-order singular value decomposition Independent component analysis Tensor Feature learning Unsupervised learning
19	Problem Set 4: Analysis of the 2004 Sumatra-Andaman earthquake Part 1: Instrument response and spectral analysis GEOS 626: Applied Seismology, Carl Tape Assigned: February 8, 2016 — Due: February 22, 2016 Last compiled Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2016-03-07 12:24:00 Mathematical analysis Analysis Mathematics Fourier analysis Digital signal processing Signal processing Statistical theory Time series analysis Window function
20	Outline Pre-processing and non-randomness Pre-processing Add to Reading List Source URL: zipfr.r-forge.r-project.org Language: English - Date: 2008-11-10 18:29:37 Statistical randomness Cryptography Estimation theory Signal processing Statistical inference Randomness Statistics Data

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