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Parametric process
Results: 113

#	Item
31	Approximate Parametric Dynamic Programming in Inventory Management Stefan W¨orner∗† Marco Laumanns† Eleni Pratsini† Apostolos Fertis‡ Add to Reading List Source URL: msom.technion.ac.il Language: English - Date: 2010-05-25 13:00:54 Applied mathematics Mathematical optimization Approximation algorithm Linear programming Dynamic programming Inventory Service level Markov decision process Trajectory optimization Operations research Business Technology
32	Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Frederico Z. Poleto1 , Carlos Daniel Paulino2,5 , Julio M. Singer3 , and Geert Molenberghs4 1 IME, Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:13 Statistical theory Regression analysis Dirichlet process Non-parametric statistics Parameter Normal distribution Parametric model Instrumental variable Accelerated failure time model Statistics Statistical models Statistical inference
33	Nonparametric Statistical Process Control Charts for High Dimensional Data Jun Li∗ Department of Statistics, University of California - Riverside, Riverside, CA 92521, U.S.A. Control charts are popular s Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Process management Engineering statistics Control chart Statistical process control Non-parametric statistics Process control Statistics Management Quality
34	Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2010-05-13 11:28:30 Actuarial science Copula Dirichlet process Correlation and dependence Conjugate prior Mixture model Normal distribution Johann Peter Gustav Lejeune Dirichlet Parametric model Statistics Statistical dependence Statistical models
35	Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data Jesper Møller, Mohammad Ghorbani and Ege Rubak Department of Mathematical Sciences, Aalborg University jm@mat Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2014-08-22 05:51:25 Stochastic processes Poisson processes Statistical models Maximum likelihood Exponential distribution Parametric model Normal distribution Likelihood function Point process Statistics Estimation theory Statistical theory
36	Applied Nonparametric Bayes Michael I. Jordan Department of Electrical Engineering and Computer Science Department of Statistics University of California, Berkeley http://www.cs.berkeley.edu/∼jordan Add to Reading List Source URL: www.siam.org Language: English - Date: 2009-06-18 10:03:04 Statistical inference Philosophy of science Statistical models Bayesian inference Dirichlet process Frequentist inference Exchangeable random variables Parametric model Hierarchical Bayes model Statistics Bayesian statistics Statistical theory
37	This paper is to be included in a book that is currently in the editorial stage. Parametric Flesh: an artifact of a collaborative process, moving bodies and a digital 3D scanner. by Boo Chapple and Inger Mewburn Add to Reading List Source URL: residualsoup.org Language: English - Date: 2007-03-06 01:42:04 3D scanner Industrial design Neuroimaging Medical physics Science Image scanner Artifact Single-photon emission computed tomography 3D modeling Medicine Error Knowledge
38	Nonlin. Processes Geophys., 21, 1145–1157, 2014 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Non-parametric Bayesian mixture of sparse regr Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 10:34:51 Regression analysis Bayesian statistics Estimation theory Linear regression Mixture model Dirichlet process Variational Bayesian methods Normal distribution Parameter Statistics Econometrics Statistical models
39	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2010-06-16 23:53:04 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
40	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 18:11:54 Estimation theory Stochastic processes Statistical models Dirichlet process Conjugate prior Mixture model Latent Dirichlet allocation Dirichlet distribution Parametric model Statistics Statistical theory Bayesian statistics

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