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Statistical theory
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#	Item
131	Assessing fit of latent regression models Sandip Sinharay, Zhumei Guo, and Matthias von Davier Educational Testing Service, Princeton, NJ, USA1 Bernard P. Veldkamp University of Twente, Enschede, The Netherlands Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-01-04 07:01:18 Statistics Regression analysis Estimation theory Parametric statistics Statistical tests Statistical theory National Assessment of Educational Progress Linear regression Statistic F-test Goodness of fit Bootstrapping
132	Estimating Nonlinear Additive Models with Nonstationarities and Correlated Errors1 Michael Vogt2,∗ Christopher Walsh3 Add to Reading List Source URL: www.statistik.uni-bonn.de Language: English - Date: 2016-02-10 09:54:52 Estimation theory Statistics Statistical theory M-estimators Statistical inference Maximum likelihood estimation Estimator
133	Columbia University Mathematics Department 2990 Broadway New York, NY 10027 Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2015-04-15 09:01:11 Mathematical analysis Probability theory Statistical mechanics Probability Stochastic processes Applied mathematics Random matrices KardarParisiZhang equation Gaussian free field Random matrix
134	Decision-Driven Models with Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Stanley Kok Lise Getoor Department of Computer Science University of Maryland, College Park College Park, MD 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:09 Statistics Probability Probability theory Mathematical analysis Statistical models Statistical classification Machine learning Histopathology Prostate cancer Bayesian probability Stochastic process Probability distribution
135	SSDBMEfficient In-Database Maintenance of ARIMA Models Technische Universität Dresden Database Technology Group Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:55:47 Statistics Estimation theory Statistical inference Time series models Signal processing Statistical theory Autoregressive integrated moving average Maximum likelihood estimation Estimator Autoregressive model
136	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Statistics Statistical classification Statistical theory Regression analysis Estimation theory Actuarial science Belief propagation Naive Bayes classifier Logistic regression Exponential family Variational Bayesian methods KullbackLeibler divergence
137	Network Working Group Request for Comments: 4086 BCP: 106 Obsoletes: 1750 Category: Best Current Practice Add to Reading List Source URL: iaoc.ietf.org Language: English - Date: 2016-02-04 15:25:54 Cryptography Random number generation Randomness Pseudorandom number generators Information theory Hardware random number generator /dev/random Entropy Key Pseudorandomness Random seed Statistical randomness
138	Top-down facilitation of multistage decisions for face recognition Brian Parks and Terrance Boult Preprint of paper to appear at IEEE Int. Conf on Biometrics Theory Applications and Systems (BTASAbstract— Visua Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2011-02-20 12:01:24 Artificial intelligence Face recognition Learning Machine learning Statistical classification Support vector machine FERET Computer vision Artificial neural network Facial recognition system Perceptron Pattern recognition
139	WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics Grigorios Tsoumakas1 , Apostolos Papadopoulos1, Weining Qian2 , Stavros Vologiannidis3 , Alexander D’yakonov4, Antti Puurula5 , Jesse Re Add to Reading List Source URL: perso.telecom-paristech.fr Language: English - Date: 2014-08-25 03:02:36 Machine learning Regression analysis Statistics Learning Artificial intelligence Estimation theory Statistical classification Data analysis Test set Linear regression Supervised learning Logistic regression
140	A Bayesian Approach to Learning 3D Representations of Dynamic Environments Ralf K¨astner, Nikolas Engelhard, Rudolph Triebel, and Roland Siegwart Abstract We propose a novel probabilistic approach to learning spatial re Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-12-20 07:34:33 Statistics Statistical theory Estimation theory Bayesian statistics Statistical models Signal processing Cluster analysis Mixture model Maximum likelihood estimation Normal distribution K-means clustering Likelihood function