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Linear probability model
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#	Item
11	CrossMark_Color_Stacked_p Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Bayesian statistics Probability distributions Statistical inference Statistical theory Psychometrics Overdispersion Beta-binomial distribution Beta distribution Bayesian inference Generalized linear model Prior probability Psychometric function
12	Journal of Applied Statistics, Vol. 28, No. 6, 2001, Dynamic paired comparison models with stochastic variances MARK E. GLICKMAN, Boston University, Boston, MA 02215, USA Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:38 Estimation theory Statistical theory Statistical models Regression analysis Probability distributions Stochastic volatility Normal distribution Generalized linear model Maximum likelihood estimation Prior probability Variance Autoregressive model
13	Random Indexing Explained with High Probability Add to Reading List Source URL: pars.ie Language: English - Date: 2015-09-18 07:15:22 Linear algebra Random projection Random indexing Cosine similarity Euclidean vector Vector space model Latent semantic analysis Vector Basis Singular value decomposition Matrix Euclidean space
14	Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén Add to Reading List Source URL: www.variancejournal.org Language: English - Date: 2008-06-30 10:20:05 Probability distributions Poisson distribution Generalized linear model Normal distribution Exponential family Negative binomial distribution Poisson regression Overdispersion Variance Compound Poisson distribution Mixed logit
15	Closing the Gap Between Short and Long XORs for Model Counting Shengjia Zhao Sorathan Chaturapruek Computer Science Department Computer Science Department Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:53 Computational complexity theory Convex optimization Probability Mathematics Coding theory Error detection and correction Low-density parity-check code PP Bayesian network Linear programming
16	Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb Add to Reading List Source URL: karpinski.org Language: English - Date: 2016-04-13 16:19:52 Algebra Mathematics Matrix theory Linear algebra Multivariate statistics Non-negative matrix factorization KullbackLeibler divergence Probability distribution Singular value decomposition Mixture model Euclidean algorithm Matrix decomposition
17	Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:45 Statistics Probability Mathematical analysis Probability distributions Laplace distribution Linear regression Normal distribution Constructible universe Bayesian network Ordinal number Beta distribution Omnibus test
18	Nonparametric spatial models for clustered ordered periodontal data Dipankar Bandyopadhyay∗ Department of Biostatistics Virginia Commonwealth University, Richmond, VA, USA Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2016-04-19 07:03:23 Statistics Regression analysis Probability distributions Estimation theory Stable distributions Normal distribution Probit model Linear regression Nonparametric statistics Multivariate normal distribution Gibbs sampling Probit
19	PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS OF I-VECTOR POSTERIOR DISTRIBUTIONS Add to Reading List Source URL: www.fit.vutbr.cz Language: English - Date: 2013-06-11 09:46:40 Statistics Probability Algebra Covariance and correlation Probability distributions Algebra of random variables Abstract algebra Linear algebra Normal distribution Covariance Mixture model Euclidean vector
20	Materialization Optimizations for Feature Selection Workloads Ce Zhang†‡ † Arun Kumar† Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-03-30 16:39:39 Statistical inference Statistics Machine learning Probability and statistics Model selection Statistical classification Computational statistics Dimension reduction Feature selection Support vector machine Linear regression Static single assignment form

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