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Normal distribution
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11	The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e Add to Reading List Source URL: www.athenasc.com Language: English - Date: 2008-07-28 11:00:50
12	Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results Torsten Hoefler Roberto Belli Add to Reading List Source URL: spcl.inf.ethz.ch Language: English - Date: 2015-12-09 07:59:40 Statistics Descriptive statistics Means Summary statistics Median Normal distribution Standard deviation Geometric mean Data transformation Mode Confidence interval Central tendency
13	DISTRIBUTIONS OF 3D DCT COEFFICIENTS FOR VIDEO Malavika Bhaskaranand and Jerry D. Gibson Department of Electrical and Computer Engineering University of California, Santa Barbara, CAEmail: {malavika, gibson}@ece Add to Reading List Source URL: vivonets.ece.ucsb.edu Language: English - Date: 2010-09-09 16:31:13 Statistics Mathematical analysis Probability Probability distributions Video compression Fourier analysis Digital signal processing ISO standards Discrete cosine transform N. Ahmed Motion compensation Normal distribution
14	IEEE TRANSACTIONS ON SMART GRID, VOL. 6, NO. 6, NOVEMBERShapley Value Estimation for Compensation of Participants in Demand Response Programs Add to Reading List Source URL: isl.stanford.edu Language: English - Date: 2016-01-25 17:28:56 Statistics Descriptive statistics Sampling Summary statistics Monte Carlo methods Variance reduction Means Shapley value Stratified sampling Sample size determination Variance Normal distribution
15	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Statistics Statistical theory Estimation theory Actuarial science Expectationmaximization algorithm Missing data Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis
16	Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2005-01-07 15:34:20 Statistics Probability Mathematical analysis Statistical models Machine learning Markov models Linear algebra Multivariate statistics Discriminative model Kalman filter Generative model Normal distribution
17	THE LOW-COMPLEXITY-BELT: EVIDENCE FOR LARGE-SCALE LANGUAGE CONTACT IN HUMAN PREHISTORY? CHRISTIAN BENTZ Department of Linguistics, University of T¨ubingen T¨ubingen, Germany Add to Reading List Source URL: www.christianbentz.de Language: English - Date: 2015-12-31 05:14:14 Statistics Physics Thermodynamic entropy Information theory Probability Randomness Philosophy of thermal and statistical physics Entropy Statistical theory Complexity Normal distribution Language
18	Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2010-10-31 18:18:15 Statistics Statistical models Stochastic processes Linear filters Bayesian statistics Estimation theory Gibbs sampling Normal distribution Kalman filter Mixture model Bayesian network Gaussian process
19	P1: JSN/VSK P2: JSN International Journal of Computer Vision Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2001-02-25 14:00:10 Mathematical analysis Statistics Probability Probability distributions Binomial distribution Gabor filter Distribution Constructible universe Normal distribution Net Markov random field Beta distribution
20	JMLR: Workshop and Conference Proceedings vol 40:1–18, 2015 Learning the dependence structure of rare events: a non-asymptotic study Nicolas Goix Anne Sabourin Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Mathematical analysis Mathematics Analysis Probability distributions Normal distribution Big O notation Limit of a function Exponentiation Central limit theorem Chebyshev function Heat equation

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