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Linear model
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#	Item
171	2 Bias-correction of Kalman filter estimators associated to a linear state space model with estimated parameters 3 Add to Reading List Source URL: ria.ua.pt Language: English - Date: 2016-05-13 08:38:39 Estimation theory Estimator Kalman filter Minimum mean square error Maximum likelihood estimation Bias of an estimator Mean squared error Point estimation GaussMarkov theorem Extended Kalman filter Efficient estimator
172	Investigating Context Parameters in Technology Term Recognition Behrang QasemiZadeh∗† Insight Centre of Data Analytics National University of Ireland, Galway † Department of Computer Science and Mathematics Add to Reading List Source URL: pars.ie Language: English - Date: 2015-04-03 14:11:11 Vectors Computational linguistics Abstract algebra Linear algebra Vector calculus Vector space model Euclidean vector K-nearest neighbors algorithm Vector space Distributional semantics Frame Cosine similarity
173	TRIPOD Checklist: Prediction Model Development Section/Topic Item Checklist Item Add to Reading List Source URL: www.tripod-statement.org Language: English - Date: 2016-03-29 08:05:17 Regression analysis Econometrics Futurology Prediction Scientific method Statistics Linear regression Imputation Unit-weighted regression
174	Estimation of Spatial Models with Endogenous Weighting Matrices, and an Application to a Demand Model for Cigarettes Harry H. Kelejian University of Maryland College Park, MD Add to Reading List Source URL: rri.wvu.edu Language: English - Date: 2013-05-29 11:04:19 Econometrics Regression analysis Estimation theory Parametric statistics Matrix Endogeneity Linear regression
175	Spectral Graph Theory Lecture 21 Spectral Partitioning in the Planted Partition Model Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Matrix theory Linear algebra Matrices Singular value decomposition Eigenvalues and eigenvectors Graph partition Symmetric matrix Matrix PerronFrobenius theorem Eigendecomposition of a matrix
176	Learning Generative Models via Discriminative Approaches Zhuowen Tu Lab of Neuro Imaging, UCLA Abstract Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-04-25 17:54:00 Machine learning Statistical models Discriminative model Generative model Independent component analysis Image segmentation Gibbs sampling Linear classifier
177	Biological Conservation–31 www.elsevier.com/locate/biocon Modelling butterﬂy species richness using mesoscale environmental variables: model construction and validation for mountain ranges in the Great Add to Reading List Source URL: www.ag.unr.edu Language: English - Date: 2007-01-03 16:43:00 Regression analysis Econometrics Linear regression Predictive modelling Poisson regression Species richness Toquima Range Species distribution Coefficient of determination Economic model Statistics
178	Electronic Companion Option Pricing under a Mixed-exponential Jump Diffusion Model Ning Cai and S. G. Kou HKUST and Columbia University A Add to Reading List Source URL: www.rmi.nus.edu.sg Language: English - Date: 2011-05-06 11:13:54 Ordinary differential equations Linear differential equation Lambert W function Normal distribution Bessel function Heat equation
179	Statistics 149 Statistical Sleuthing through Generalized Linear Models Spring 2016 Lectures: Mon/Wed, 1:00pm–2:30pm, Sci Ctr E Instructor: Mark E. Glickman, Sci Ctr 605 E-mail: Add to Reading List Source URL: www.glicko.net Language: English - Date: 2016-07-26 13:40:09 Regression analysis Econometrics Actuarial science Statistical models Scientific method Logistic regression Generalized linear model Generalized additive model Prediction Homework Multinomial logistic regression Statistics
180	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

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