Time series models

Results: 405



#Item
131Package Development in R: Implementing GO-GARCH models Dr. Bernhard Pfaff   Invesco Asset Management Deutschland GmbH, Frankfurt am Main

Package Development in R: Implementing GO-GARCH models Dr. Bernhard Pfaff Invesco Asset Management Deutschland GmbH, Frankfurt am Main

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Source URL: www.pfaffikus.de

Language: English - Date: 2012-07-05 15:38:17
132Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward

Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward

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Source URL: wcrp-climate.org

Language: English - Date: 2014-01-10 05:52:24
133A Network Analysis of Expression Time Series Gregory T. Dewey Ashish Bhan  Keck Graduate Institute

A Network Analysis of Expression Time Series Gregory T. Dewey Ashish Bhan Keck Graduate Institute

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Source URL: icsb-2001.org

Language: English - Date: 2001-12-04 14:14:40
134VAR, SVAR and SVEC Models: Implementation Within R Package vars Bernhard Pfaff Kronberg im Taunus  Abstract

VAR, SVAR and SVEC Models: Implementation Within R Package vars Bernhard Pfaff Kronberg im Taunus Abstract

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Source URL: www.pfaffikus.de

Language: English - Date: 2013-06-10 15:44:52
135Factor Analysis of High Dimensional Time Series Chris Heaton  A thesis submitted in fullment

Factor Analysis of High Dimensional Time Series Chris Heaton A thesis submitted in fullment

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Source URL: econometrics.mq.edu.au

Language: English - Date: 2012-07-09 19:58:03
136Weak diffusion limits of dynamic conditional correlation models Christian M. Hafner, Sebastien Laurent and Francesco Violante CREATES Research Paper

Weak diffusion limits of dynamic conditional correlation models Christian M. Hafner, Sebastien Laurent and Francesco Violante CREATES Research Paper

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Source URL: econ.au.dk

Language: English - Date: 2015-02-02 02:48:44
137Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward

Data and bias correction for decadal climate predictions 1. Introduction Because climate models are not perfect simulated climatologies will dier somewhat from observed climatologies. The model state will drift toward

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Source URL: www.wcrp-climate.org

Language: English - Date: 2011-09-05 03:20:39
1381  Tied Probabilistic Linear Discriminant Analysis for Speech Recognition  arXiv:1411.0895v1 [cs.CL] 4 Nov 2014

1 Tied Probabilistic Linear Discriminant Analysis for Speech Recognition arXiv:1411.0895v1 [cs.CL] 4 Nov 2014

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Source URL: arxiv.org

Language: English - Date: 2014-11-04 21:00:40
139Non linear statistical models to improve wind power forecasts M. Pilar Muñoz1, Josep A. Sánchez-Espigares1, M. Dolores Márquez2 1 Barcelona-Tech. Universitat Politècnica de Catalunya, Barcelona, Spain 2

Non linear statistical models to improve wind power forecasts M. Pilar Muñoz1, Josep A. Sánchez-Espigares1, M. Dolores Márquez2 1 Barcelona-Tech. Universitat Politècnica de Catalunya, Barcelona, Spain 2

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:20
140Parameter Estimation of Random Coefficient Models with Correlated Errors using Quadratic Estimating Function Approach Ibrahim Mohamed* University of Malaya, Kuala Lumpur, Malaysia  Kamil Khalid Universi

Parameter Estimation of Random Coefficient Models with Correlated Errors using Quadratic Estimating Function Approach Ibrahim Mohamed* University of Malaya, Kuala Lumpur, Malaysia Kamil Khalid Universi

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:21