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Brendan McCabe

Personal Details

First Name:Brendan
Middle Name:
Last Name:McCabe
Suffix:
RePEc Short-ID:pmc192
[This author has chosen not to make the email address public]
Terminal Degree:1989 Afdeling Kwantitatieve Economie; Faculteit Economie en Bedrijfskunde; Universiteit van Amsterdam (from RePEc Genealogy)

Affiliation

Management School
University of Liverpool

Liverpool, United Kingdom
http://www.liverpool.ac.uk/management/
RePEc:edi:mslivuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Patrick Leung & Catherine S. Forbes & Gael M Martin & Brendan McCabe, 2019. "Forecasting Observables with Particle Filters: Any Filter Will Do!," Monash Econometrics and Business Statistics Working Papers 22/19, Monash University, Department of Econometrics and Business Statistics.
  2. David T. Frazier & Worapree Maneesoonthorn & Gael M. Martin & Brendan P.M. McCabe, 2018. "Approximate Bayesian forecasting," Monash Econometrics and Business Statistics Working Papers 2/18, Monash University, Department of Econometrics and Business Statistics.
  3. Yao Rao & Brendan McCabe, 2018. "Structural Change and the Problem of Phantom Break Locations," Working Papers 20185, University of Liverpool, Department of Economics.
  4. Patrick Leung & Catherine S. Forbes & Gael M. Martin & Brendan McCabe, 2016. "Data-driven particle Filters for particle Markov Chain Monte Carlo," Monash Econometrics and Business Statistics Working Papers 17/16, Monash University, Department of Econometrics and Business Statistics.
  5. Gael M. Martin & Brendan P.M. McCabe & David T. Frazier & Worapree Maneesoonthorn & Christian P. Robert, 2016. "Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 09/16, Monash University, Department of Econometrics and Business Statistics.
  6. Gael M. Martin & Brendan P.M. McCabe & Worapree Maneesoonthorn & Christian P. Robert, 2014. "Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 20/14, Monash University, Department of Econometrics and Business Statistics.
  7. 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.
  8. Brendan P.M. McCabe & Gael Martin & Keith Freeland, 2010. "A Quasi-locally Most powerful Test for Correlation in the conditional Variance of Positive Data," Monash Econometrics and Business Statistics Working Papers 2/10, Monash University, Department of Econometrics and Business Statistics.
  9. Brendan P.M. McCabe & Gael M. Martin & David Harris, 2009. "Optimal Probabilistic Forecasts for Counts," Monash Econometrics and Business Statistics Working Papers 7/09, Monash University, Department of Econometrics and Business Statistics.
  10. Ruijun Bu & Kaddour Hadri & Brendan McCabe, 2006. "Conditional Maximum Likelihood Estimation of Higher-Order Integer-Valued Autoregressive Processes," Working Papers 200619, University of Liverpool, Department of Economics.
  11. Keith Freeland & Brendan McCabe & Gael Martin, 2004. "Testing for Dependence in Non-Gaussian Time Series Data," Econometric Society 2004 Australasian Meetings 313, Econometric Society.
  12. David Harris & Steve Leybourne & Brendan McCabe, 2003. "Panel Stationarity Tests with Cross-sectional Dependence," Econometrics 0311005, University Library of Munich, Germany.
  13. B.P.M. McCabe & G.M. Martin, 2003. "Coherent Predictions of Low Count Time Series," Monash Econometrics and Business Statistics Working Papers 8/03, Monash University, Department of Econometrics and Business Statistics.
  14. Brendan McCabe & Stephen Leybourne & David Harris, 2003. "Testing for Stochastic Cointegration and Evidence for Present Value Models," Econometrics 0311009, University Library of Munich, Germany.
  15. B.P.M. McCabe & G.M. Martin & A.R. Tremayne, 2003. "Persistence and Nonstationary Models," Monash Econometrics and Business Statistics Working Papers 16/03, Monash University, Department of Econometrics and Business Statistics.
  16. McCabe,B.P.M. & Tremayne,A.R., 1995. "Testing a Time-Series for Difference Stationarity," Cambridge Working Papers in Economics 9420, Faculty of Economics, University of Cambridge.

Articles

  1. Yao Rao & Brendan McCabe, 2020. "Structural Change and the Problem of Phantom Break Locations," Manchester School, University of Manchester, vol. 88(1), pages 211-228, January.
  2. Brendan P. M. McCabe & Christopher L. Skeels, 2020. "Distributions You Can Count On …But What’s the Point?," Econometrics, MDPI, vol. 8(1), pages 1-36, March.
  3. Frazier, David T. & Maneesoonthorn, Worapree & Martin, Gael M. & McCabe, Brendan P.M., 2019. "Approximate Bayesian forecasting," International Journal of Forecasting, Elsevier, vol. 35(2), pages 521-539.
  4. Harris, David & McCabe, Brendan, 2019. "Semiparametric Independence Testing For Time Series Of Counts And The Role Of The Support," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1111-1145, December.
  5. Maria Eduarda Silva & Isabel Pereira & Brendan McCabe, 2019. "Bayesian Outlier Detection in Non‐Gaussian Autoregressive Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(5), pages 631-648, September.
  6. Rao, Yao & McCabe, Brendan, 2017. "Is MORE LESS? The role of data augmentation in testing for structural breaks," Economics Letters, Elsevier, vol. 155(C), pages 131-134.
  7. Brendan McCabe, 2015. "DISCRETE TIME SERIES, PROCESSES, AND APPLICATIONS IN FINANCE, by Gilles Zumbach. Springer Finance Series. Published by Springer, Heidelberg, Berlin, 2013. Total number of pages: 315. ISBN: 978-3-642-3," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 125-125, January.
  8. Lu Han & Brendan McCabe, 2013. "Testing for parameter constancy in non-Gaussian time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 17-29, January.
  9. 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.
  10. Jiajing Sun & Brendan P. McCabe, 2013. "Score statistics for testing serial dependence in count data," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(3), pages 315-329, May.
  11. Brendan P. M. McCabe & Gael M. Martin & David Harris, 2011. "Efficient probabilistic forecasts for counts," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(2), pages 253-272, March.
  12. Bu, Ruijun & McCabe, Brendan, 2008. "Model selection, estimation and forecasting in INAR(p) models: A likelihood-based Markov Chain approach," International Journal of Forecasting, Elsevier, vol. 24(1), pages 151-162.
  13. Harris, David & McCabe, Brendan & Leybourne, Stephen, 2008. "Testing For Long Memory," Econometric Theory, Cambridge University Press, vol. 24(1), pages 143-175, February.
  14. Ruijun Bu & Brendan McCabe & Kaddour Hadri, 2008. "Maximum likelihood estimation of higher‐order integer‐valued autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(6), pages 973-994, November.
  15. Harris, David & Leybourne, Stephen & McCabe, Brendan, 2007. "Modified Kpss Tests For Near Integration," Econometric Theory, Cambridge University Press, vol. 23(2), pages 355-363, April.
  16. McCabe, Brendan & Leybourne, Stephen & Harris, David, 2006. "A Residual-Based Test For Stochastic Cointegration," Econometric Theory, Cambridge University Press, vol. 22(3), pages 429-456, June.
  17. B. P. M. McCabe & G. M. Martin & A. R. Tremayne, 2005. "Assessing Persistence In Discrete Nonstationary Time‐Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 305-317, March.
  18. McCabe, B.P.M. & Martin, G.M., 2005. "Bayesian predictions of low count time series," International Journal of Forecasting, Elsevier, vol. 21(2), pages 315-330.
  19. Keith Freeland, R. & McCabe, Brendan, 2005. "Asymptotic properties of CLS estimators in the Poisson AR(1) model," Statistics & Probability Letters, Elsevier, vol. 73(2), pages 147-153, June.
  20. Harris, David & Leybourne, Stephen & McCabe, Brendan, 2005. "Panel Stationarity Tests for Purchasing Power Parity With Cross-Sectional Dependence," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 395-409, October.
  21. R. K. Freeland & B. P. M. McCabe, 2004. "Analysis of low count time series data by poisson autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 701-722, September.
  22. Freeland, R. K. & McCabe, B. P. M., 2004. "Forecasting discrete valued low count time series," International Journal of Forecasting, Elsevier, vol. 20(3), pages 427-434.
  23. Harris, David & McCabe, Brendan & Leybourne, Stephen, 2003. "Some Limit Theory For Autocovariances Whose Order Depends On Sample Size," Econometric Theory, Cambridge University Press, vol. 19(5), pages 829-864, October.
  24. Harris, David & McCabe, Brendan & Leybourne, Stephen, 2002. "Stochastic cointegration: estimation and inference," Journal of Econometrics, Elsevier, vol. 111(2), pages 363-384, December.
  25. Leybourne, S J & McCabe, B P M, 1999. "Modified Stationarity Tests with Data-Dependent Model-Selection Rules," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 264-270, April.
  26. McCabe, B.P.M. & Leybourne, S.J., 1998. "On Estimating An Arma Model With An Ma Unit Root," Econometric Theory, Cambridge University Press, vol. 14(3), pages 326-338, June.
  27. B. P. M. McCabe & S. J. Leybourne & Y. Shin, 1997. "A Parametric approach to testing the null of cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(4), pages 395-413, July.
  28. Leybourne, S J & McCabe, B P M & Tremayne, A R, 1996. "Can Economic Time Series Be Differenced to Stationarity?," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 435-446, October.
  29. Leybourne, S J & McCabe, B P M, 1994. "A Consistent Test for a Unit Root," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 157-166, April.
  30. Leybourne, S J & McCabe, B P M, 1994. "A Simple Test for Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(1), pages 97-103, February.
  31. Goldstein, Larry & McCabe, Brendan, 1993. "On the moments of certain stochastic integrals," Statistics & Probability Letters, Elsevier, vol. 18(1), pages 65-72, August.
  32. Leybourne, S. J. & McCabe, B. P. M., 1992. "A simple test for parameter constancy in a nonlinear time series regression model," Economics Letters, Elsevier, vol. 38(2), pages 157-162, February.
  33. McCabe, B. P. M., 1990. "An extension of Anderson's multiple decision procedure," Statistics & Probability Letters, Elsevier, vol. 9(2), pages 119-124, February.
  34. McCabe, B. P. M., 1989. "Misspecification tests in econometrics based on ranks," Journal of Econometrics, Elsevier, vol. 40(2), pages 261-278, February.
  35. Phillips, G D A & McCabe, B P M, 1989. "A Sequential Approach to Testing for Structural Change in Econometric Models," Empirical Economics, Springer, vol. 14(2), pages 151-165.
  36. Leybourne, S J & McCabe, B P M, 1989. "Testing for Coefficient Constancy in Random Walk Models with Particular Reference to the Initial Value Problem," Empirical Economics, Springer, vol. 14(2), pages 105-112.
  37. G.D.A. Phillips & B.P.M. McCabe, 1988. "Some applications for Basil's independence theorem in testing econometric models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(1), pages 37-46, March.
  38. McCabe, B.P.M., 1988. "A Multiple Decision Theory Analysis of Structural Stability in Regression," Econometric Theory, Cambridge University Press, vol. 4(3), pages 499-508, December.
  39. McCabe, B. P. M., 1987. "Testing regression models for random effects outliers under elliptical symmetry," Economics Letters, Elsevier, vol. 25(1), pages 47-49.
  40. Phillips, G. D. A. & McCabe, B. P., 1983. "The independence of tests for structural change in regression models," Economics Letters, Elsevier, vol. 12(3-4), pages 283-287.
  41. B. P. M. McCabe & M. J. Harrison, 1980. "Testing the Constancy of Regression Relationships Over Time Using Least Squares Residuals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 142-148, June.
  42. O'Hagan, John W & McCabe, Brendan, 1975. "Tests for the Severity of Multicollinearity in Regression Analysis: A Comment," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 368-370, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 14 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 (14) 2003-04-24 2003-09-28 2003-11-23 2003-11-30 2004-06-22 2004-10-30 2009-08-30 2010-04-17 2014-12-13 2016-05-28 2016-10-09 2018-02-26 2019-10-28 2020-02-17. Author is listed
  2. NEP-ETS: Econometric Time Series (12) 2003-04-21 2003-09-28 2003-11-23 2003-11-30 2004-06-22 2004-10-30 2010-04-17 2014-12-13 2016-05-28 2016-10-09 2019-10-28 2020-02-17. Author is listed
  3. NEP-ORE: Operations Research (5) 2014-12-13 2016-05-28 2016-10-09 2018-02-26 2019-10-28. Author is listed
  4. NEP-FOR: Forecasting (3) 2009-08-30 2018-02-26 2019-10-28
  5. NEP-ARA: MENA - Middle East and North Africa (1) 2009-08-30
  6. NEP-CMP: Computational Economics (1) 2019-10-28
  7. NEP-FIN: Finance (1) 2004-10-30
  8. NEP-RMG: Risk Management (1) 2003-04-21

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