Bayesian non‐parametric hidden Markov models with applications in genomics
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Omiros Papaspiliopoulos & Gareth O. Roberts, 2008. "Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models," Biometrika, Biometrika Trust, vol. 95(1), pages 169-186.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Kim, Chang-Jin, 1994.
"Dynamic linear models with Markov-switching,"
Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
- Kim, C-J., 1991. "Dynamic Linear Models with Markov-Switching," Papers 91-8, York (Canada) - Department of Economics.
- Teh, Yee Whye & Jordan, Michael I. & Beal, Matthew J. & Blei, David M., 2006. "Hierarchical Dirichlet Processes," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1566-1581, December.
- Guha, Subharup & Li, Yi & Neuberg, Donna, 2008. "Bayesian Hidden Markov Modeling of Array CGH Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 485-497, June.
- Peter J. Green & Sylvia Richardson, 2001. "Modelling Heterogeneity With and Without the Dirichlet Process," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 28(2), pages 355-375, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013.
"Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
- Jason Ng & Catherine S. Forbes & Gael M. Martin & Brendan P.M. McCabe, 2011. "Non-Parametric Estimation of Forecast Distributions in Non-Gaussian, Non-linear State Space Models," Monash Econometrics and Business Statistics Working Papers 11/11, Monash University, Department of Econometrics and Business Statistics.
- Laura Liu, 2018.
"Density Forecasts in Panel Data Models : A Semiparametric Bayesian Perspective,"
Finance and Economics Discussion Series
2018-036, Board of Governors of the Federal Reserve System (U.S.).
- Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Feb 2020.
- Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
- Chopin, Nicolas & Gadat, Sébastien & Guedj, Benjamin & Guyader, Arnaud & Vernet, Elodie, 2015. "On some recent advances in high dimensional Bayesian Statistics," TSE Working Papers 15-557, Toulouse School of Economics (TSE).
- Richard L. Warr & Travis B. Woodfield, 2020. "Bayesian nonparametric estimation of first passage distributions in semi‐Markov processes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(2), pages 237-250, March.
- Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "On the stick–breaking representation of normalized inverse Gaussian priors," DEM Working Papers Series 008, University of Pavia, Department of Economics and Management.
- Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
- Xia, Ye-Mao & Tang, Nian-Sheng, 2019. "Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 190-211.
- F. Bartolucci & A. Farcomeni & F. Pennoni, 2014.
"Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(3), pages 433-465, September.
- Bartolucci, Francesco & Farcomeni, Alessio & Pennoni, Fulvia, 2012. "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper 39023, University Library of Munich, Germany.
- Raffaele Argiento & Matteo Ruggiero, 2018. "Computational challenges and temporal dependence in Bayesian nonparametric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 231-238, June.
- Liverani, Silvia & Hastie, David I. & Azizi, Lamiae & Papathomas, Michail & Richardson, Sylvia, 2015. "PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i07).
- repec:dau:papers:123456789/13438 is not listed on IDEAS
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020.
"Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," CESifo Working Paper Series 6457, CESifo.
- Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2019. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model," Jena Economic Research Papers 2019-006, Friedrich-Schiller-University Jena.
- Michael J. Dueker & Andreas M. Fischer, 1995. "Identifying Austria's implicit monetary target: an alternative test of the \"hard currency\" policy," Working Papers 1995-005, Federal Reserve Bank of St. Louis.
- Perron, Pierre & Wada, Tatsuma, 2016.
"Measuring business cycles with structural breaks and outliers: Applications to international data,"
Research in Economics, Elsevier, vol. 70(2), pages 281-303.
- Tatsuma Wada & Pierre Perron, 2014. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series 2014-004, Boston University - Department of Economics.
- Pierre Perron & Tatsuma Wada, 2015. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series wp2015-016, Boston University - Department of Economics.
- Chin Nam Low & Heather Anderson & Ralph Snyder, 2006.
"Beveridge-Nelson Decomposition with Markov Switching,"
Melbourne Institute Working Paper Series
wp2006n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Chin Nam Low & Heather Anderson & Ralph Snyder, 2006. "Beverridge Nelson Decomposition With Markov Switching," CAMA Working Papers 2006-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chin Nam Low & Heather Anderson & Ralph D. Snyder, 2006. "Beveridge-Nelson Decomposition with Markov Switching," Monash Econometrics and Business Statistics Working Papers 17/06, Monash University, Department of Econometrics and Business Statistics.
- Kim, Chang-Jin & Morley, James C. & Nelson, Charles R., 2001.
"Does an intertemporal tradeoff between risk and return explain mean reversion in stock prices?,"
Journal of Empirical Finance, Elsevier, vol. 8(4), pages 403-426, September.
- Chang-Jin Kim & James C. Morley & Charles Nelson, 1999. "Does an Intertemporal Tradeoff between Risk and Return Explain Mean Reversion in Stock Prices?," Working Papers 0028, University of Washington, Department of Economics.
- Chang-Jin Kim & James C. Morley & Charles Nelson, 1999. "Does an Intertemporal Tradeoff between Risk and Return Explain Mean Reversion in Stock Prices?," Discussion Papers in Economics at the University of Washington 0028, Department of Economics at the University of Washington.
- Chang-Jin Kim & James C. Morley & Charles Nelson, 2000. "Does an Interpemporal Trade Off Between Risk and Return Explain Mean Reversion in Stock Prices?," Working Papers 0011, University of Washington, Department of Economics.
- Chang-Jin Kim & James C. Morley & Charles Nelson, 2000. "Does an Interpemporal Trade Off Between Risk and Return Explain Mean Reversion in Stock Prices?," Discussion Papers in Economics at the University of Washington 0011, Department of Economics at the University of Washington.
- Omokolade Akinsomi & Mehmet Balcilar & Rıza Demirer & Rangan Gupta, 2017.
"The effect of gold market speculation on REIT returns in South Africa: a behavioral perspective,"
Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 774-793, October.
- Kola Akinsomi & Mehmet Balcilar & Rıza Demirer & Rangan Gupta, 2016. "The Effect of Gold Market Speculation on REIT Returns in South Africa: A Behavioral Perspective," Working Papers 201643, University of Pretoria, Department of Economics.
- Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, Reading University.
- Calvet, Laurent E. & Fisher, Adlai J., 2007.
"Multifrequency news and stock returns,"
Journal of Financial Economics, Elsevier, vol. 86(1), pages 178-212, October.
- Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
- Laurent-Emmanuel Calvet & Adlai J. Fisher, 2007. "Multifrequency news and stock returns," Post-Print hal-00459675, HAL.
- Laurent-Emmanuel Calvet & Adlai J. Fisher, 2011. "Multifrequency News and Stock Returns," Working Papers hal-00591678, HAL.
- Ang, Andrew & Bekaert, Geert, 2002.
"Regime Switches in Interest Rates,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
- Andrew Ang & Geert Bekaert, 1998. "Regime Switches in Interest Rates," NBER Working Papers 6508, National Bureau of Economic Research, Inc.
- Lorenzo Cerboni Baiardi & Massimo Costabile & Domenico De Giovanni & Fabio Lamantia & Arturo Leccadito & Ivar Massabó & Massimiliano Menzietti & Marco Pirra & Emilio Russo & Alessandro Staino, 2020. "The Dynamics of the S&P 500 under a Crisis Context: Insights from a Three-Regime Switching Model," Risks, MDPI, Open Access Journal, vol. 8(3), pages 1-15, July.
- Alain Monfort & Olivier Féron, 2012.
"Joint econometric modeling of spot electricity prices, forwards and options,"
Review of Derivatives Research, Springer, vol. 15(3), pages 217-256, October.
- Alain Monfort & Olivier Féron, 2011. "Joint Econometric Modeling of Spot Electricity Prices, Forwards and Options," Working Papers 2011-12, Center for Research in Economics and Statistics.
- Rossi, Alessandro & Gallo, Giampiero M., 2006.
"Volatility estimation via hidden Markov models,"
Journal of Empirical Finance, Elsevier, vol. 13(2), pages 203-230, March.
- Alessandro Rossi & Giampiero M. Gallo, 2002. "Volatility Estimation via Hidden Markov Models," Econometrics Working Papers Archive wp2002_14, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Nadal De Simone, Francisco & Clarke, Sean, 2007. "Asymmetry in business fluctuations: International evidence on Friedman's plucking model," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 64-85, February.
- Carol Alexander & Anca Dimitriu, 2005. "Indexing, cointegration and equity market regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 213-231.
- Apostolos Serletis & Libo Xu, "undated". "Consumption, Leisure, and Money," Working Papers 2019-08, Department of Economics, University of Calgary, revised 06 Jul 2019.
- Marie Bessec, 2019.
"Revisiting the transitional dynamics of business cycle phases with mixed-frequency data,"
Econometric Reviews, Taylor & Francis Journals, vol. 38(7), pages 711-732, August.
- Marie Bessec, 2016. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Working Papers hal-01358595, HAL.
- Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
- Fei, Fei & Fuertes, Ana-Maria & Kalotychou, Elena, 2017. "Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching," International Journal of Forecasting, Elsevier, vol. 33(3), pages 662-678.
- Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
- Chauvet, Marcelle & Potter, Simon, 2001.
"Nonlinear Risk,"
Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 621-646, September.
- Marcelle Chauvet & Simon M. Potter, 1999. "Nonlinear risk," Staff Reports 61, Federal Reserve Bank of New York.
- Marcelle Chauvet & Jeremy Piger, 2013.
"Employment And The Business Cycle,"
Manchester School, University of Manchester, vol. 81(s2), pages 16-42, October.
- Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 34103, University Library of Munich, Germany.
- Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 46642, University Library of Munich, Germany.
More about this item
Keywords
Block Gibbs sampler ; Copy number variation ; Local and global clustering ; Partial exchangeability ; Partition models ; Retrospective sampling ;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jorssb:v:73:y:2011:i:1:p:37-57. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery). General contact details of provider: http://edirc.repec.org/data/rssssea.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.