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Artem Prokhorov

This is information that was supplied by Artem Prokhorov in registering through RePEc. If you are Artem Prokhorov , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Artem
Middle Name:
Last Name:Prokhorov
Suffix:
RePEc Short-ID:ppr133
[This author has chosen not to make the email address public]
https://sites.google.com/site/artembprokhorov/
Montréal, Canada
http://www.cireqmontreal.com/

: (514) 343-6557
(514) 343-7221
C.P. 6128, Succ. centre-ville, Montréal (PQ) H3C 3J7
RePEc:edi:cdmtlca (more details at EDIRC)
St. Petersburg, Russia
http://www.econ.spbu.ru/

: +7 812 2734050
+7 812 2734050
199034 Saint-Petersburg Universitetskaja nab.7-9
RePEc:edi:fespuru (more details at EDIRC)
Montréal, Canada
http://artsandscience1.concordia.ca/economics/

: (514) 848-3900
(514) 848-4536
1455, de Maisonneuve Blvd, Montréal, Québec, H3G 1M8
RePEc:edi:deconca (more details at EDIRC)
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  1. Matsypura, Dmytro & Neo, Emily & Prokhorov, Artem, 2016. "Estimation of Hierarchical Archimedean Copulas as a Shortest Path Prob lem," Working Papers 2123/14745, University of Sydney Business School, Discipline of Business Analytics.
  2. Medovikov, Ivan & Prokhorov, Artem, 2016. "A New Measure of Vector Dependence, with an Application to Financial C ontagion," Working Papers 2016-01, University of Sydney Business School, Discipline of Business Analytics.
  3. Ibragimov, Rustam & Mo, Jingyuan & Prokhorov, Artem, 2015. "Fat tails and copulas: limits of diversification revisited," Working Papers 2015-06, University of Sydney Business School, Discipline of Business Analytics.
  4. Prokhorov, Artem & Schepsmeier, Ulf & Zhu, Yajing, 2015. "Generalized Information Matrix Tests for Copulas," Working Papers 2015-05, University of Sydney Business School, Discipline of Business Analytics.
  5. Amsler, Christine & Artem, Prokhorov & Peter, Schmidt, 2015. "Endogeneity in Stochastic Frontier Models," Working Papers 2015-01, University of Sydney Business School, Discipline of Business Analytics.
  6. Hill, Jonathan B. & Prokhorov, Artem, 2015. "GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-03, University of Sydney Business School, Discipline of Business Analytics.
  7. Hill, Jonathan B. & Prokhorov, Artem, 2015. "Supplemental Material for GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-04, University of Sydney Business School, Discipline of Business Analytics.
  8. Hirukawa, Masayuki & Prokhorov, Artem, 2014. "Consistent Estimation of Linear Regression Models Using Matched Data," Working Papers 2014-03, University of Sydney Business School, Discipline of Business Analytics.
  9. Stanislav Anatolyev & Renat Khabibullin & Artem Prokhorov, 2013. "Reconstructing high dimensional dynamic distributions from distributions of lower dimension," Working Papers w0167, Center for Economic and Financial Research (CEFIR).
  10. Liu, Di & Murtazashvili, Irina & Prokhorov, Artem, 2013. "Two-Sample Nonparametric Estimation of Intergenerational Income Mobili ty," Working Papers 07_2013, University of Sydney Business School, Discipline of Business Analytics.
  11. Martin Burda & Artem Prokhorov, 2012. "Copula Based Factorization in Bayesian Multivariate Infinite Mixture Models," Working Papers 12012, Concordia University, Department of Economics.
  12. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2011. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Working Papers 11002, Concordia University, Department of Economics.
  13. Valentyn Panchenko & Artem Prokhorov, 2011. "Efficient estimation of parameters in marginals in semiparametric multivariate models," Working Papers 11001, Concordia University, Department of Economics.
  14. Wanling Huang & Artem Prokhorov, 2010. "Bartlett-type Correction of Distance Metric Test," Working Papers 10003, Concordia University, Department of Economics.
  15. Artem Prokhorov, 2010. "Second Order Bias of Quasi-MLE for Covariance Structure Models," Working Papers 10001, Concordia University, Department of Economics.
  16. Artem Prokhorov & Peter Schmidt, 2009. "Likelihood Based Estimation in a Panel Setting: Robustness, Redundancy and Validity of Copulas," Working Papers 09002, Concordia University, Department of Economics.
  17. Artem Prokhorov & Peter Schmidt, 2008. "GMM Redundancy Results for General Missing Data Problems," Working Papers 08003, Concordia University, Department of Economics.
  18. Artem Prokhorov, 2008. "On relative efficiency of Quasi-MLE and GMM estimators of covariance structure models," Working Papers 08004, Concordia University, Department of Economics.
  19. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
  1. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
  2. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
  3. Irina Murtazashvili & Di Liu & Artem Prokhorov, 2015. "Two-sample nonparametric estimation of intergenerational income mobility in the United States and Sweden," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1733-1761, December.
  4. Burda, Martin & Prokhorov, Artem, 2014. "Copula based factorization in Bayesian multivariate infinite mixture models," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 200-213.
  5. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
  6. Anatolyev, Stanislav & Khabibullin, Renat & Prokhorov, Artem, 2014. "An algorithm for constructing high dimensional distributions from distributions of lower dimension," Economics Letters, Elsevier, vol. 123(3), pages 257-261.
  7. Wanling Huang & Artem Prokhorov, 2014. "A Goodness-of-fit Test for Copulas," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 751-771, October.
  8. Prokhorov, Artem, 2012. "Second order bias of quasi-MLE for covariance structure models," Economics Letters, Elsevier, vol. 114(2), pages 195-197.
  9. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
  10. Prokhorov, Artem, 2009. "On relative efficiency of quasi-MLE and GMM estimators of covariance structure models," Economics Letters, Elsevier, vol. 102(1), pages 4-6, January.
  11. Prokhorov, Artem & Schmidt, Peter, 2009. "Likelihood-based estimation in a panel setting: Robustness, redundancy and validity of copulas," Journal of Econometrics, Elsevier, vol. 153(1), pages 93-104, November.
  12. Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 21 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (16) 2008-08-21 2009-01-03 2009-02-28 2010-04-17 2010-04-24 2010-07-10 2011-04-02 2012-03-21 2012-12-22 2013-10-25 2015-11-21 2015-11-21 2015-11-21 2016-04-16 2016-04-30 2016-05-28. Author is listed
  2. NEP-ETS: Econometric Time Series (2) 2015-11-21 2015-11-21
  3. NEP-RMG: Risk Management (2) 2015-11-21 2015-11-21
  4. NEP-CIS: Confederation of Independent States (1) 2015-11-21
  5. NEP-ORE: Operations Research (1) 2015-11-21

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