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Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk Author info | Abstract | Publisher info | Download info | Related research | Statistics Bauwens, L.
Bos, C.S.
Van Dijk, H.K.
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Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlo method for Bayesian analysis of models with ill-behaved posterior distributions. In order to sample efficiency from such a distribution, location-scale transformation and a transformation to polar coordinates are used.
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Paper provided by Catholique de Louvain - Center for Operations Research and Economics in its series Papers with number
9957.
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Length: 28 pages
Date of creation: 1999Date of revision:
Handle: RePEc:fth:louvco:9957Contact details of provider: Postal: BELGIQUE, UNIVERSITE CATHOLIQUE DE LOUVAIN, CENTER FOR OPERATIONS RESEARCH AND ECONOMETRICS (CORE), LOUVAIN-LA-NEUVE, BELGIQUE. Phone: 32(10)474321 Fax: 32(10)474301 Email: Web page: http://www.uclouvain.be/en-core.html More information through EDIRC
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Keywords: ECONOMETRICS MATHEMATICAL ANALYSIS SIMULATION Other versions of this item:
Paper Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999.
"Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk ,"
Tinbergen Institute Discussion Papers
99-082/4, Tinbergen Institute.
[Downloadable!] K. Van Dijk & Luc Bauwens & Charles Bos, 2000.
"Adaptive Polar Sampling With An Application To A Bayes Measure Of Value-At-Risk ,"
Computing in Economics and Finance 2000
145, Society for Computational Economics.
L. Bauwens & C.S. Bos & H.K. van Dijk, 1999.
"Adaptive Polar Sampling with an application to a Bayes measure of Value-at-Risk ,"
Econometric Institute Report
167, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!] Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
Richard Paap & Herman K. van Dijk, 1999.
"Bayes Estimates of Markov Trends in Possibly Cointegrated Series: An Application to US Consumption and Income ,"
Tinbergen Institute Discussion Papers
99-024/4, Tinbergen Institute.
[Downloadable!]
Other versions:
R. Paap & H.K. van Dijk, 1999.
"Bayes estimates of Markov trends in possibly cointegrated series - an application to US consumption and income ,"
Econometric Institute Report
111, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!] Paap, Richard & van Dijk, Herman K, 2003.
"Bayes Estimates of Markov Trends in Possibly Cointegrated Series: An Application to U.S. Consumption and Income ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 21(4), pages 547-63, October.
Kleibergen, F & Van Dijk, H K, 1993.
"Non-stationarity in GARCH Models: A Bayesian Analysis ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 8(S), pages S41-61, Suppl. De.
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Other versions: repec:cup:etheor:v:10:y:1994:i:3-4:p:514-51 is not listed on IDEAS
Albert, James H & Chib, Siddhartha, 1993.
"Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts ,"
Journal of Business & Economic Statistics ,
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Luc Bauwens & Michel Lubrano, 1998.
"Bayesian inference on GARCH models using the Gibbs sampler ,"
Econometrics Journal ,
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Other versions:
Bauwens, L. & Lubrano, M., 1996.
"Bayesian Inference on Garch Models Using the Gibbs Sampler ,"
Papers
9627, Catholique de Louvain - Center for Operations Research and Economics.
Bauwens, L. & Lubrano, M., 1996.
"Bayesian Inference on GARCH Models Using the Gibbs Sampler ,"
G.R.E.Q.A.M.
96a21, Universite Aix-Marseille III.
Frank Kleibergen & Herman K. van Dijk, 1998.
"Bayesian Simultaneous Equations Analysis using Reduced Rank Structures ,"
Tinbergen Institute Discussion Papers
98-025/4, Tinbergen Institute.
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Other versions:
Kleibergen, F. & Van Dijk, H.K., 1997.
"Bayesian Simultaneous Equations Analysis Using Reduced Rank Structures ,"
Papers
9714/a, Erasmus University of Rotterdam - Econometric Institute.
Kleibergen, Frank & Dijk, Herman K. van, 1996.
"Bayesian simultaneous equations analysis using reduced rank structures ,"
Econometric Institute Report
47, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!] Kleibergen, Frank & van Dijk, Herman K., 1998.
"Bayesian Simultaneous Equations Analysis Using Reduced Rank Structures ,"
Econometric Theory ,
Cambridge University Press, vol. 14(06), pages 701-743, December.
[Downloadable!] Kleibergen, F.R. & Van Dijk, H.K., 1993.
"On the Shape of the Likelyhood/Posterior in Cointegration Models ,"
Papers
9315-a, Erasmus University of Rotterdam - Econometric Institute.
Van Dijk, Herman K. & Kloek, Teun & Boender, C. Guus E., 1985.
"Posterior moments computed by mixed integration ,"
Journal of Econometrics ,
Elsevier, vol. 29(1-2), pages 3-18.
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Geweke, John, 1989.
"Exact predictive densities for linear models with arch disturbances ,"
Journal of Econometrics ,
Elsevier, vol. 40(1), pages 63-86, January.
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G. Koop & H.K. van Dijk, 1999.
"Testing for integration using evolving trend and seasonal models A Bayesian approach ,"
Econometric Institute Report
163, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!]
Other versions:
Gary Koop & Herman K. van Dijk, 1999.
"Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach ,"
Tinbergen Institute Discussion Papers
99-072/4, Tinbergen Institute.
[Downloadable!] Gary Koop & Herman K. van Dijk & Henk Hoek, 1997.
"Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach ,"
Tinbergen Institute Discussion Papers
97-078/4, Tinbergen Institute.
[Downloadable!] Van Dijk, H.K. & Koop, G., 1999.
"Testing for Integration Using Evolving Trend and Seasonals Models : A Bayesian Approach ,"
Papers
9934/a, Erasmus University of Rotterdam - Econometric Institute.
Koop, Gary & Dijk, Herman K. Van, 2000.
"Testing for integration using evolving trend and seasonals models: A Bayesian approach ,"
Journal of Econometrics ,
Elsevier, vol. 97(2), pages 261-291, August.
[Downloadable!] (restricted) repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
Kim, Sangjoon & Shephard, Neil & Chib, Siddhartha, 1998.
"Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models ,"
Review of Economic Studies ,
Blackwell Publishing, vol. 65(3), pages 361-93, July.
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Other versions:
Sangjoon Kim, Neil Shephard & Siddhartha Chib, .
"Stochastic volatility: likelihood inference and comparison with ARCH models ,"
Economics Papers
W26, revised version of W, Economics Group, Nuffield College, University of Oxford.
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"Stochastic volatility: likelihood inference and comparison with ARCH models ,"
Economics Papers
3., Economics Group, Nuffield College, University of Oxford.
[Downloadable!] Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1996.
"Stochastic Volatility: Likelihood Inference And Comparison With Arch Models ,"
Econometrics
9610002, EconWPA.
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"Bayesian Treatment of the Independent Student- t Linear Model ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 8(S), pages S19-40, Suppl. De.
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Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994.
"Bayesian Analysis of Stochastic Volatility Models ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 12(4), pages 371-89, October.
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Markus Haas & Stefan Mittnik & Marc S. Paolella, 2006.
"Multivariate Normal Mixture GARCH ,"
CFS Working Paper Series
2006/09, Center for Financial Studies.
[Downloadable!]
Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2001.
"On the Variation of Hedging Decisions in Daily Currency Risk Management ,"
Tinbergen Institute Discussion Papers
01-018/4, Tinbergen Institute.
[Downloadable!]
Other versions: Emese Lazar & Carol Alexander, 2006.
"Normal mixture GARCH(1,1): applications to exchange rate modelling ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 21(3), pages 307-336.
[Downloadable!]
L. Bauwens & C.S. Bos & H.K. Van Dijk & R.D. Van Oest, 2002.
"Adaptive polar sampling, a class of flexibel and robust Monte Carlo integration methods ,"
Econometric Institute Report
278, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!]
Luc, BAUWENS & Arie, PREMINGER & Jeroen, ROMBOUTS, 2006.
"Regime switching GARCH models ,"
Université catholique de Louvain, Département des Sciences Economiques Working Paper
2006006, Université catholique de Louvain, Département des Sciences Economiques.
[Downloadable!]
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