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Sampling theory
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#	Item
231	Less is More: Sampling the Neighborhood Graph Makes SALSA Better and Faster Marc Najork Sreenivas Gollapudi Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:21 PageRank Vertex Distance Connectivity Graph theory Graph Neighbourhood
232	StatMORE ON THE RANDOM SAMPLING MODEL OctCharlotte Wickham Add to Reading List Source URL: stat511.cwick.co.nz Language: English - Date: 2014-10-03 22:16:39 Summary statistics Sampling Measurement Standard error Sampling distribution Sample size determination Errors and residuals in statistics Standard deviation Mode Statistics Data analysis Statistical theory
233	LATENT CLASS ANALYSIS WITH SAMPLING WEIGHTS: A MAXIMUM LIKELIHOOD APPROACH Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:22 Mathematical analysis Expectation–maximization algorithm Missing data Mixture model Latent class model Latent variable model Weight function Maximum likelihood Statistics Estimation theory Statistical models
234	A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska † , Tova Milo # UC Berkeley, † Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2014-05-08 10:23:26 Hypothesis testing Statistical theory Psychometrics Confidence interval Statistical power Sampling Sample size determination Errors and residuals in statistics Statistical hypothesis testing Statistics Statistical inference Measurement
235	1 A large-scale community structure analysis in Facebook Emilio Ferrara1 1 Department of Mathematics, University of Messina, Italy ∗ E-mail: Add to Reading List Source URL: arxiv.org Language: English Mathematics Science Community structure Modularity Social network Sampling Complex network Power law Breadth-first search Network theory Networks Graph theory
236	Modern Signal Processing MSRI Publications Volume 46, 2003 Introduction A New Generation of Signal Processing Add to Reading List Source URL: library.msri.org Language: English - Date: 2004-04-28 14:31:34 Electronic engineering Sampling theory Signal Electrical engineering Wavelet Time–frequency analysis Mathematical statistics Pro Tools Digital signal processor Signal processing Digital signal processing Telecommunications engineering
237	Quantifying the Uncertainty of Nutrient Load Estimates in the Shepparton Irrigation Region Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:59:54 Variance reduction Survey methodology Estimation theory Stratified sampling Hydrology Estimator Random sample Uncertainty Statistics Statistical inference Sampling
238	➠ ➡ SPECTROGRAM-BASED FORMANT TRACKING VIA PARTICLE FILTERS Yu Shi and Eric Chang Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:27 Probability and statistics Estimation theory Robot control Formant Human voice Particle filter Video tracking Hidden Markov model Importance sampling Statistics Monte Carlo methods Markov models
239	Cutset sampling for Bayesian networks Cutset sampling for Bayesian networks Bozhena Bidyuk Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-10-03 14:22:14 Graphical models Monte Carlo methods Bayesian statistics Probability theory Networks Decomposition method Bayesian network Markov random field Gibbs sampling Statistics Graph theory Probability and statistics
240	Microsoft PowerPoint - SIAM-Tutorial-v2 Add to Reading List Source URL: www.siam.org Language: English - Date: 2009-03-20 13:24:12 Information theory Statistical classification K-nearest neighbor algorithm Oversampling Support vector machine Sampling Data mining Statistics Data analysis Artificial intelligence

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