Bayesian Dynamic Tensor Regression
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- Monica Billio & Roberto Casarin & Matteo Iacopini & Sylvia Kaufmann, 2023. "Bayesian Dynamic Tensor Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 429-439, April.
References listed on IDEAS
- Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015.
"The multi-layer network nature of systemic risk and its implications for the costs of financial crises,"
Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
- Sebastian Poledna & Jos'e Luis Molina-Borboa & Seraf'in Mart'inez-Jaramillo & Marco van der Leij & Stefan Thurner, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Papers 1505.04276, arXiv.org.
- Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2007.
"Similarities and convergence in G-7 cycles,"
Journal of Monetary Economics, Elsevier, vol. 54(3), pages 850-878, April.
- Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2003. "Similarities and convergence in G-7 cycles," Economics Working Papers 924, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2004.
- Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2004. "Similarities and Convergence in G7 Cycles," CEPR Discussion Papers 4534, C.E.P.R. Discussion Papers.
- Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2004. "Similarities and convergence in G-7 cycles," Working Papers 0404, Banco de España.
- Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2004. "Similarities and convergence in G-7 cycles," Working Paper Series 312, European Central Bank.
- Laszlo Balazsi & Laszlo Matyas & Tom Wansbeek, 2018.
"The estimation of multidimensional fixed effects panel data models,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 212-227, March.
- László Mátyás & László Balázsi, 2012. "The Estimation of Multi-dimensional Fixed Effects Panel Data Models," CEU Working Papers 2012_2, Department of Economics, Central European University, revised 18 Feb 2013.
- Laszlo Balazsi & Laszlo Matyas & Tom J. Wansbeek, 2015. "The Estimation of Multi-dimensional Fixed Effects Panel Data Models," CESifo Working Paper Series 5251, CESifo.
- László Balázsi & László Mátyás & Tom Wansbeek, 2014. "The Estimation of Multi-dimensional Fixed Effects Panel Data Models," CEU Working Papers 2014_1, Department of Economics, Central European University, revised 10 Feb 2014.
- Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2012.
"Do institutional changes affect business cycles? Evidence from Europe,"
Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1520-1533.
- Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2009. "Do institutional changes affect business cycles? Evidence from Europe," Working Papers 0921, Banco de España.
- Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2009. "Do institutional changes affect business cycles? Evidence from Europe," Economics Working Papers 1158, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2012.
- Aldasoro, Iñaki & Alves, Iván, 2018.
"Multiplex interbank networks and systemic importance: An application to European data,"
Journal of Financial Stability, Elsevier, vol. 35(C), pages 17-37.
- Aldasoro, Iñaki & Alves, Iván, 2015. "Multiplex interbank networks and systemic importance: An application to European data," SAFE Working Paper Series 102 [rev.], Leibniz Institute for Financial Research SAFE, revised 2015.
- Aldasoro, Iñaki & Alves, Iván, 2016. "Multiplex interbank networks and systemic importance – An application to European data," ESRB Working Paper Series 20, European Systemic Risk Board.
- Aldasoro, Iñaki & Alves, Iván, 2015. "Multiplex interbank networks and systemic importance: An application to European data," SAFE Working Paper Series 102, Leibniz Institute for Financial Research SAFE.
- Aldasoro, Iñaki & Alves, Iván, 2016. "Multiplex interbank networks and systemic importance: an application to European data," Working Paper Series 1962, European Central Bank.
- Iñaki Aldasoro & Ivan Alves, 2017. "Multiplex interbank networks and systemic importance - An application to European data," BIS Working Papers 603, Bank for International Settlements.
- Carlos M. Carvalho & Nicholas G. Polson & James G. Scott, 2010. "The horseshoe estimator for sparse signals," Biometrika, Biometrika Trust, vol. 97(2), pages 465-480.
- Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Randomizing world trade. I. A binary network analysis," Papers 1103.1243, arXiv.org, revised Nov 2011.
- Canova, Fabio & Ciccarelli, Matteo, 2013.
"Panel Vector Autoregressive Models: A Survey,"
CEPR Discussion Papers
9380, C.E.P.R. Discussion Papers.
- Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel vector autoregressive models: a survey," Working Paper Series 1507, European Central Bank.
- Fabio Canova & Matteo Ciccarelli, 2009.
"Estimating Multicountry Var Models,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
- Fabio Canova & Matteo Ciccarelli, 2002. "Estimating multi-country VAR models," Economics Working Papers 920, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
- Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
- Canova, Fabio & Ciccarelli, Matteo, 2006. "Estimating multi-country VAR models," Working Paper Series 603, European Central Bank.
- Fabio Canova & Matteo Ciccarelli, 2007. "Estimating Multi-country VAR models," Discussion Papers 7_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
- J. Carroll & Jih-Jie Chang, 1970. "Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition," Psychometrika, Springer;The Psychometric Society, vol. 35(3), pages 283-319, September.
- Sims, Christopher A & Zha, Tao, 1998.
"Bayesian Methods for Dynamic Multivariate Models,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
- Christopher A. Sims & Tao Zha, 1996. "Bayesian methods for dynamic multivariate models," FRB Atlanta Working Paper 96-13, Federal Reserve Bank of Atlanta.
- Engle, Robert & Granger, Clive, 2015.
"Co-integration and error correction: Representation, estimation, and testing,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.
- Park, Trevor & Casella, George, 2008. "The Bayesian Lasso," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 681-686, June.
- Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Randomizing world trade. II. A weighted network analysis," Papers 1103.1249, arXiv.org, revised Nov 2011.
- Schotman, Peter & van Dijk, Herman K., 1991.
"A Bayesian analysis of the unit root in real exchange rates,"
Journal of Econometrics, Elsevier, vol. 49(1-2), pages 195-238.
- Schotman P. & van Dijk, H. K., 1989. "A Bayesian Analysis Of The Unit Root In Real Exchange Rates," Econometric Institute Archives 272390, Erasmus University Rotterdam.
- Lexin Li & Xin Zhang, 2017. "Parsimonious Tensor Response Regression," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1131-1146, July.
- Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016.
"Structural analysis with Multivariate Autoregressive Index models,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
- Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2015. "Structural Analysis with Multivariate Autoregressive Index Models," CEPR Discussion Papers 10801, C.E.P.R. Discussion Papers.
- Carl Eckart & Gale Young, 1936. "The approximation of one matrix by another of lower rank," Psychometrika, Springer;The Psychometric Society, vol. 1(3), pages 211-218, September.
- Hao Wang & Mike West, 2009. "Bayesian analysis of matrix normal graphical models," Biometrika, Biometrika Trust, vol. 96(4), pages 821-834.
- Jing Zhou & Anirban Bhattacharya & Amy H. Herring & David B. Dunson, 2015. "Bayesian Factorizations of Big Sparse Tensors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1562-1576, December.
- Canova, Fabio & Ciccarelli, Matteo, 2004.
"Forecasting and turning point predictions in a Bayesian panel VAR model,"
Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
- Fabio Canova & Matteo Ciccarelli, 1999. "Forecasting and turning point predictions in a Bayesian panel VAR model," Economics Working Papers 443, Department of Economics and Business, Universitat Pompeu Fabra.
- Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
- Fabio Canova & Matteo Ciccarelli, 2000. "Forecasting And Turning Point Predictions In A Bayesian Panel Var Model," Working Papers. Serie AD 2000-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Ohlson, Martin & Rauf Ahmad, M. & von Rosen, Dietrich, 2013. "The multilinear normal distribution: Introduction and some basic properties," Journal of Multivariate Analysis, Elsevier, vol. 113(C), pages 37-47.
- Cesar A. Hidalgo & Ricardo Hausmann, 2009.
"The Building Blocks of Economic Complexity,"
Papers
0909.3890, arXiv.org.
- Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," CID Working Papers 186, Center for International Development at Harvard University.
- Anirban Bhattacharya & Debdeep Pati & Natesh S. Pillai & David B. Dunson, 2015. "Dirichlet--Laplace Priors for Optimal Shrinkage," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1479-1490, December.
- Viroli, Cinzia, 2012. "On matrix-variate regression analysis," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 296-309.
- Hua Zhou & Lexin Li & Hongtu Zhu, 2013. "Tensor Regression with Applications in Neuroimaging Data Analysis," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(502), pages 540-552, June.
- Carlos M. Carvalho & Hélène Massam & Mike West, 2007. "Simulation of hyper-inverse Wishart distributions in graphical models," Biometrika, Biometrika Trust, vol. 94(3), pages 647-659.
- Ali Kharrazi & Elena Rovenskaya & Brian D Fath, 2017. "Network structure impacts global commodity trade growth and resilience," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-13, February.
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Cited by:
- Billio, Monica & Casarin, Roberto & Costola, Michele & Iacopini, Matteo, 2024.
"COVID-19 spreading in financial networks: A semiparametric matrix regression model,"
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- Billio Monica & Casarin Roberto & Costola Michele & Iacopini Matteo, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Papers 2101.00422, arXiv.org.
- Monica Billio & Roberto Casarin & Michele Costola & Matteo Iacopini, 2021. "COVID-19 spreading in financial networks: A semiparametric matrix regression model," Working Papers 2021:05, Department of Economics, University of Venice "Ca' Foscari".
- Alain Hecq & Ivan Ricardo & Ines Wilms, 2024. "Reduced-Rank Matrix Autoregressive Models: A Medium $N$ Approach," Papers 2407.07973, arXiv.org.
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More about this item
Keywords
Tensor calculus; tensor decomposition; Bayesian statistics; hierarchical prior; networks; autoregessive model; time series; international trade.;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2018-06-25 (Econometrics)
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