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Statistical models
Results: 4614

#	Item
31	Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-08-08 22:07:31 Statistics Probability Statistical theory Probability distributions Statistical models Bayesian statistics Stochastic processes Graphical models Bayesian network Gibbs sampling Dirichlet process Mixture model
32	Context-Aware Parameter Estimation for Forecast Models in the Energy Domain Lars Dannecker1,2, Robert Schulze1, Matthias Böhm2, Wolfgang Lehner2, Gregor Hackenbroich1 1SAP Research Dresden, 2Technische Universität Dres Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:55:38 Prediction Statistical forecasting Forecasting Time series analysis Forecast error Forecast model FORECAST Economy
33	On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha† Add to Reading List Source URL: rri.wvu.edu Language: English - Date: 2013-10-02 12:09:44 Statistics Estimation theory Regression analysis Statistical theory Parametric statistics Signal processing Ordinary least squares Autocorrelation Estimator Generalized method of moments Robust statistics Linear regression
34	S TATC MSC 35425: T OPICS IN S TATISTICAL M ACHINE L EARNING Syllabus, Spring 2016 Topics in Statistical Machine Learning is a second course in machine learning, with students assumed to have previous exposure t Add to Reading List Source URL: galton.uchicago.edu Language: English - Date: 2016-04-13 06:56:12 Statistics Machine learning Artificial intelligence Learning Statistical models Language modeling Word embedding Pattern recognition Bayesian inference Mixture model Artificial neural network Higher-order singular value decomposition
35	swiss economics Add to Reading List Source URL: www.swiss-economics.ch Language: English - Date: 2013-03-01 12:09:56 Economy Economics Business Choice modelling Pricing Single-equation methods Statistical models Scientific modeling Discrete choice Service Delivery Post-office box
36	Adding Context Information to Part Of Speech Tagging for Dialogues Sandra Kübler, Matthias Scheutz, Eric Baucom, Ross Israel Indiana University Bloomington, IN, USA {skuebler,mscheutz,eabaucom,raisrael}@indiana.edu Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2011-03-15 16:31:56 Linguistics Natural language processing Corpus linguistics Economy Markov models Computational linguistics Part-of-speech tagging Word-sense disambiguation Statistical natural language processing Tagger Trigram tagger Treebank
37	Potts model with invisible colours Random-cluster representation and Pirogov-Sinai analysis Aernout C. D. van Enter1,∗ Giulio Iacobelli1,† Add to Reading List Source URL: www.staff.science.uu.nl Language: English - Date: 2012-01-20 19:15:46 Lattice models Statistical mechanics Theoretical physics Physics Mechanics Potts model Ising model Heat transfer physics
38	OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS . Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:13:05 Statistics Regression analysis Statistical theory Entropy Information theory Randomness Least squares Kriging Errors and residuals Linear regression Lossless JPEG
39	Tutorial Workshop, Madeira, 21-23th OctoberThe continuum description of agent-based models (part II) Federico Vázquez, Cristóbal López and Maxi San Miguel IFISC, Instituto de Fisica Interdisciplinar y Sistemas Add to Reading List Source URL: www.patres-project.eu Language: English - Date: 2009-10-26 13:09:44 Statistical mechanics Stochastic processes Differential equations Physics Equations Langevin equation Stochastic differential equation Magnetization Mathematics Ising model Micromagnetics
40	INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr Add to Reading List Source URL: www.n.ethz.ch Language: English - Date: 2013-10-06 16:12:54 Statistics Estimation theory Statistical theory Regression analysis Statistical inference Statistical methods Linear regression Instrumental variable Estimator Asymptotic theory Shrinkage estimator M-estimator

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