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Statistical signal processing
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31	March 8, :24 WSPCAADAAdvances in Adaptive Data Analysis Vol. 3, No–482 Add to Reading List Source URL: rcada.ncu.edu.tw Language: English - Date: 2012-04-22 23:10:51 Time series models Signal processing Statistical forecasting HilbertHuang transform Time series analysis Noise Autoregressive integrated moving average Forecasting Ensemble forecasting Time series Artificial neural network Autoregressive model
32	Ann Inst Stat Math:673–703 DOIs10463z Optimal restricted quadratic estimator of integrated volatility Liang-Ching Lin · Meihui Guo Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Mathematical finance Statistical inference Signal processing Stochastic volatility Volatility Efficiency Bias of an estimator Maximum likelihood estimation Estimator Realized kernel
33	Deformable Template As Active Basis Ying Nian Wu, Zhangzhang Si, Chuck Fleming, and Song-Chun Zhu UCLA Department of Statistics http://www.stat.ucla.edu/∼ywu/ActiveBasis.html Abstract Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2007-08-20 02:10:20 Statistical theory Probability distributions Signal processing Timefrequency analysis Wavelet Regression analysis KullbackLeibler divergence FO Maximum likelihood estimation Exponential distribution Closed and exact differential forms Bayesian multivariate linear regression
34	Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed Yulia R. Gel University of Texas at Dallas, USA Vyacheslav Lyubchich Add to Reading List Source URL: esc.cbl.umces.edu Language: English - Date: 2015-08-24 23:44:33 Statistical inference Statistical forecasting Time series models Time series analysis Signal processing Bootstrapping Forecasting Autoregressive model Wind farm Wind Resampling Prediction
35	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 61, NO. 12, JUNE 15, Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs Add to Reading List Source URL: coleman.ucsd.edu Language: English Statistical models Spanning tree Networks Graphical models Bayesian network Minimum spanning tree Line graph Algorithm Directed acyclic graph Pi Feedback arc set Book:Graph Theory
36	USING MODEL-BASED PARAMETER ESTIMATION TO INCREASE THE EFFICIENCY AND EFFECTIVENESS OF COMPUTATIONAL ELECTROMAGNETICS Science began, and largely remains, an activity of making observations and/or collecting data about va Add to Reading List Source URL: www.aces-society.org Language: English - Date: 2016-01-02 19:21:16 Statistical inference Estimation theory Signal processing Robust statistics Parameter Regression analysis Nonparametric statistics Parametric Estimation
37	A convex optimization approach to generalized moment problems in multivariate spectral estimation Michele Pavon Department of Mathematics University of Padova, Padova, Italy Add to Reading List Source URL: math.nyu.edu Language: English - Date: 2014-02-18 16:33:06 Signal processing Frequency domain analysis Estimation theory Statistical inference Spectral density estimation Anders Lindquist
38	MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:26:38 Signal processing Statistical models Convex optimization Operations research Independent component analysis Wavelet Linear programming Support vector machine Matrix Machine learning Sparse approximation Sparse dictionary learning
39	January 20, S1793536910000562:11 WSPCAADA Add to Reading List Source URL: rcada.ncu.edu.tw Language: English - Date: 2011-02-08 04:22:40 Signal processing Statistical theory HilbertHuang transform Entropy KullbackLeibler divergence Wavelet Principle of maximum entropy
40	17th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 , Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2009-09-21 12:26:53 Statistics Statistical theory Probability Probability distributions Bayesian statistics Infinitely divisible probability distributions Gamma distribution Normal distribution Prior probability Bayesian network Conjugate prior Hyperprior

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