Ian McLeod

Professor
Office: WSC 235
Phone: 519-661-2111 x83611
Email: aimcleod@uwo.ca


Website

Ph.D. University of Waterloo, 1977 

Research Areas

  • Time Series analysis
  • Wavelet methods for time series
  • Data visualization
  • Massive datasets and data mining
  • Neural networks for forecasting
  • Statistical computing
  • Bayesian analysis
  • Statistical software development

Publications

  • McLeod, I., Bogiatzi, C., Heckam, D., Spence, J. D. and Wannarong, T. (2014). SPARKLE (Subtypes of ischaemic stroke classification system), Incorporating measurement of carotid plaque burden: A new validated tool for the classification of ischemic stroke subtypes. Neuroepidemiology, 42 (4): 243-250.
  • McLeod, I., Meirambayeva, A., Vingilis, E. R. ., Xiao, J. and Zou, G. (2014). Evaluation of Deterrent Impact of Ontario's Street Racing and Stunt Driving Law on Extreme Speeding Convictions. Traffic Injury Prevention , 15 (8): 786-793.
  • McLeod, I., Lai, Y., Meirambayeva, A., Vingilis, E. R. . and Zou, G. (2014). Road safety impact of Ontario street racing and stunt driving law. Accident Analysis and Prevention , 71: 72-81.
  • McLeod, I., Bogiatzi, C., Heckam, D. and Spence, J. D. (2014). Secular trends in ischemic stroke subtypes and stroke risk factors. Stroke, 45 (11): 3208-3213.
  • McLeod, I., King, L. M. and Simonvic, S. P. (2014). Simulation of historical temperatures using a multi-site, multivariate block resampling algorithm with perturbation. Hydrological Processes, 28 (3): 905-912.
  • McLeod, I., Yu, H. and Zhang, Y. (2013). Developments in maximum likelihood unit root tests. Communications in Statistics: Simulation and Computation, 42 (5): 1088-1103.
  • Yu, H., McLeod, I. and Mahdi, E. (2012). Time Series Analysis with R. Accident Analysis and Prevention , 30: 661-712.
  • McLeod, I., Irwin, S., King, L. M., Sarwar, R. and Simonvic, S. P. (2012). The effects of climate change on extreme precipitation events in the upper Thames River Basin: A comparison of downscaling approaches. Accident Analysis and Prevention , 37 (3): 253-274.
  • McLeod, I. (2010). When laboratories report estimated glomerular filtration rate, the use of angiotensin converting enzyme inhibitors and angiotensin-II receptor blockers increases. Journal of American Society of Nephrology, Reference: JASN-2010-06-0649.
  • McLeod, I. and Zhang, Y. (2008). Improved dubset sutoregression: With R package. Journal of Statistical Software, 28(2) 1-28.
  • Vingilis, E. R. ., McLeod, I., Mann, R. E. . and Seeley, J. F. . (2008). A tale of two cities: the effect of extended drinking hours in licensed establishments on assaults and impaired driving offences. Traffic Injury Prevention , 68 906-911.
  • Lin, J. and McLeod, I. (2008). Portmanteau tests for ARMA models with infinite variance. Journal of Time Series Analysis , 29 600-617.
  • McLeod, I. (2008). Faster ARMA maximum likelihood estimation. Computational Statistics and Data Analysis , 52(4) 2166-2176.
  • McLeod, I. and Vingilis, E. R. . (2008). Power computations in time series analyses for traffic safety interventions. Accident Analysis and Prevention , 40 1244-1248.
  • McLeod, I., Yu, H. and Krougly, Z. (2007). Algorithms for linear time series analysis: with R package. Journal of Statistical Software, 23(5) 1-26.
  • Vingilis, E. R. ., McLeod, I., Stoduto, G., Seeley, J. F. . and Mann, R. E. . (2007). Impact of extended drinking hours in Ontario on motor vehicular collision and non-motor vehicular collision injuries. Journal of Studies on Alcohol and Drugs , 68(6) 905-912.
  • Lin, J. and McLeod, I. (2006). Improved Pena-Rodriguez Portmanteau Test. Computational Statistics and Data Analysis , 51 1731-1738.
  • Zhang, Y. and McLeod, I. (2006). Partial autocorrelation parameterization for subset autoregression. Journal of Time Series Analysis , 27 599-612.
  • McLeod, I. (2006). Fitting MA(q) models in the closed invertible region. Statistics and Probablity Letters , 76 1331-1334.
  • Zhang, Y. and McLeod, I. (2006). Computer algebra derivation of the bias of Burg estimators. Journal of Time Series Analysis , 27 157-165.
  • Vingilis, E. R. ., McLeod, I., Seeley, J. F. ., Voas, R., Mann, R. E. . and Compton, C. (2006). The impact of Ontario, Canada’s extended drinking hours on cross-border cities of Windsor and Detroit. Accident Analysis and Prevention , 38 63-70.
  • Vingilis, E. R. ., Seeley, J. F. ., McLeod, I., Mann, R. E. ., Stoduto, G. and Beirness, D. (2005). Road Safety Impact of the Extended Drinking Hours Policy in Ontario. In: Contemporary Issues in Road User Behavior and Traffic Safety (eds.: Dwight A. Hennessy and David L. Wiesenthal). Nova Science Publishes Inc.2005, .
  • McLeod, I. and Vingilis, E. R. . (2005). Power Computations for Intervention Analysis. Technometrics, 47 174-180.
  • Kajitani, Y., Hipel, K. W. and McLeod, I. (2005). Forecasting Nonlinear Time Series with Feed-Forward Neural Networks: A Case Study of Canadian Lynx Data. Journal of Forecasting, 24 105-117.
  • Vingilis, E. R. ., McLeod, I., Seeley, J. F. ., Mann, R. E. ., Stoduto, G., Compton, C. and Beirness, D. (2005). Road Safety Impact of Extended Drinking Hours in Ontario. Accident Analysis and Prevention , 37 547-556.