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    • Research at UC

Dr Dominic Savio Lee

Contact

Department: Mathematics and Statistics

Email: dominic.lee@canterbury.ac.nz

Office:

Language: English

About
Research / Creative works
Networks
Projects
Methods & Equipment

Fields of Research

  • Bayesian statistics
  • Computational statistics
  • Engineering statistics
  • Nonparametric statistics
  • Signal and image processing

Researcher Summary

Research interests include computational, Bayesian and nonparametric statistics, with applications in medical research, signal processing and image processing.

Subject Area: Disciplines

  • Engineering and Technology: Signal and Image Processing
  • Statistics: Applied Statistics; Statistics
  • Lee.jpg

Research/Scholarly/Creative Works

Chapters
  • Lee D. (2008) Exact Markov Chain Monte Carlo algorithms and their applications in probabilistic data analysis and inference. In Wang HF (Ed.), Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery: 161-183. New York: IGI Publishing.
Journal Articles
  • Hewapathirana IU., Lee D., Moltchanova E. and McLeod J. (2020) Change detection in noisy dynamic networks: a spectral embedding approach. Social Network Analysis and Mining 10(1) http://dx.doi.org/10.1007/s13278-020-0625-3.
  • Suwan S., Lee DS., Tang R., Sussman DL., Tang M. and Priebe CE. (2016) Empirical Bayes estimation for the stochastic blockmodel. Electronic Journal of Statistics 10(1): 761-782. http://dx.doi.org/10.1214/16-EJS1115.
  • Zahari M., Lee DS. and Darlow BA. (2016) Algorithms that eliminate the effects of calibration artefact and trial-imposed offsets of Masimo oximeter in BOOST-NZ trial. Journal of Clinical Monitoring and Computing 30(5): 669-678. http://dx.doi.org/10.1007/s10877-015-9752-1.
  • Suwan S., Lee DS. and Priebe CE. (2015) Bayesian Vertex Nomination Using Content and Context. Wiley Interdisciplinary Reviews: Computational Statistics 7(6): 400-416. http://dx.doi.org/10.1002/wics.1365.
  • Innes CRH., Lee D., Chen C., Ponder-Sutton AM., Melzer TR. and Jones RD. (2011) Do complex models increase prediction of complex behaviours? Predicting driving ability in people with brain disorders. Quarterly Journal of Experimental Psychology 64(9): 1714-1725. http://dx.doi.org/10.1080/17470218.2011.555821.
  • Lee DS., Zahari M., Russell G., Darlow BA., Scarrott CJ. and Reale M. (2011) An Exploratory Investigation of Some Statistical Summaries of Oximeter Oxygen Saturation Data from Preterm Babies. IRSN Pediatrics 2011 Article ID 296418 http://dx.doi.org/10.5402/2011/296418.
  • Lin J., Parente JD., Chase JG., Shaw GM., Blakemore AJ., Le Compte AJ., Pretty C., Razak NN., Lee DS. and Hann CE. (2011) Development of a model-based clinical sepsis biomarker for critically ill patients. Computer Methods and Programs in Biomedicine (102): 149-155. http://dx.doi.org/10.1016/j.cmpb.2010.04.002.
  • MacDonald A., Scarrott CJ., Lee D., Darlow B., Reale M. and Russell G. (2011) A Flexible Extreme Value Mixture Model. Computational Statistics and Data Analysis 55(6): 2137-2157. http://dx.doi.org/10.1016/j.csda.2011.01.005.
  • Bradley BA. and Lee DS. (2010) Accuracy of approximate methods of uncertainty propagation in seismic loss estimation. Structural Safety 32(1): 13-24. http://dx.doi.org/10.1016/j.strusafe.2009.04.001.
  • Bradley BA. and Lee DS. (2010) Component correlations in structure-specific seismic loss estimation. Earthquake Engineering and Structural Dynamics 39(3): 237-258. http://dx.doi.org/10.1002/eqe.937.
  • Le Compte AJ., Lee DS., Chase JG., Lin J., Lynn A. and Shaw GM. (2010) Blood Glucose Prediction Using Stochastic Modeling in Neonatal Intensive Care. IEEE Transactions on Biomedical Engineering 57(3): 509-518. http://dx.doi.org/10.1109/TBME.2009.2035517.
  • Bradley BA., Dhakal RP., Cubrinovski M., MacRae GA. and Lee DS. (2009) Seismic loss estimation for efficient decision making. Bulletin of the New Zealand Society of Earthquake Engineering 42(2): 96-110.
  • Bradley BA., Lee DS., Broughton R. and Price C. (2009) Efficient evaluation of performance-based earthquake engineering equations. Structural Safety 31(1): 65-74. http://dx.doi.org/10.1016/j.strusafe.2008.03.003.
  • Chase JG., Shaw G., Le Compte A., Lonergan T., Willacy M., Wong XW., Lin J., Lotz T., Lee D. and Hann C. (2008) Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change. Critical Care 12(2) R49 http://dx.doi.org/10.1186/cc6868.
  • Lin J., Lee DS., Chase JG., Shaw GM., Le Compte AJ., Lotz T., Wong XW., Lonergan T. and Hann CE. (2008) Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care. Computer Methods and Programs in Biomedicine 89(2): 141-152. http://dx.doi.org/10.1016/j.cmpb.2007.04.006.
  • Moorhead KT., Lee DS., Chase JG., Moot AR., Ledingham K., Scotter J., Allardyce R., Sentilomohan ST. and Endre Z. (2008) Classifying algorithms for SIFT-MS technology and medical diagnosis. Computer Methods and Programs in Biomedicine 89(3): 226-238. http://dx.doi.org/10.1016/j.cmpb.2007.11.011.
  • Chase JG., Shaw GM., Le Compte A., Lee DS., Lonergan T., Willacy M., Wong XW., Lin J., Lotz T. and Hann C. (2007) Tight Glycaemic Control in Critical Care Using Insulin and Nutrition - the SPRINT Protocol. Diabetes Science and Technology 1(2) A22.
  • Lin J., Lee D., Chase JG., Shaw GM., Hann CE., Lotz T. and Wong J. (2006) Stochastic modelling of insulin sensitivity variability in critical care. Biomedical Signal Processing & Control 1(3): 229-242. http://dx.doi.org/10.1016/j.bspc.2006.09.003.
  • Lotz TF., Chase JG., McAuley KA., Lee DS., Lin J., Hann CE. and Mann JI. (2006) Transient and Steady-State Euglycemic Clamp Validation of a Model for Glycemic Control and Insulin Sensitivity Testing. Diabetes Technology & Therapeutics 8(3): 338-346.
  • Rudge AD., Chase JG., Shaw GM. and Lee D. (2006) Physiological modelling of agitation-sedation dynamics including endogenous agitation reduction. Medical Engineering and Physics 28(7): 629-638. http://dx.doi.org/10.1016/j.medengphy.2005.10.008.
  • Rudge AD., Chase JG., Shaw GM. and Lee D. (2006) Physiological Modelling of Agitation-Sedation Dynamics. Medical Engineering and Physics 28(1): 49-59. http://dx.doi.org/10.1016/j.medengphy.2005.03.005.
  • Rudge AD., Chase JG., Shaw GM., Lee DS. and Hann CE. (2006) Parameter identification and sedative sensitivity analysis of an agitation-sedation model. Computer Methods and Programs in Biomedicine 83(3): 211-221. http://dx.doi.org/10.1016/j.cmpb.2006.06.011.
  • Chase JG., Rudge AD., Lee DS. and Shaw GM. (2005) H∞ control analysis of patient agitation management in the critically ill. International Journal of Intelligent Systems Technologies and Applications 1(1-2): 111-125. http://dx.doi.org/10.1504/ijista.2005.007310.
  • Chase JG., Rudge AD., Lee DS. and Shaw GM. (2005) H-infinity control analysis of patient agitation management in the critically ill. International Journal of Intelligent Systems Technologies and Applications 1(1/2): 111-125.
  • Lee DS., Rudge AD., Chase JG. and Shaw GM. (2005) A New Model Validation Tool Using Kernel Regression and Density Estimation. Computer Methods and Programs in Biomedicine 80(1): 75-87.
  • Rudge AD., Chase JG., Shaw GM., Lee D., Wake GC., Hudson IL. and Johnston L. (2005) Impact of Control on Agitation-Sedation Dynamics. Control Engineering Practice 13(9): 1139-1149.
  • Shaw G., Chase G., Doran C., Lin J., Lotz T., Lee D. and Bloomfield M. (2005) Peak and Range of Blood Glucose Are Also Associated with ICU Mortality. Critical Care Medicine 32(12) A125.
  • Shaw GM., Chase JG., Lee DS., Hooper E., Rudge AD. and Agogue F. (2005) Emerging Methods for Sedation and Agitation Management in Critical Illness. Critical Care Medicine 32(12) A97.
  • Chase JG., Rudge AD., Shaw GM., Wake GC., Lee D., Hudson I. and Johnston L. (2004) Modeling and control of the agitation-sedation cycle for critical care patients. Medical Engineering and Physics 26(6): 459-471.
  • Doran CV., Bloomfield M., Lee D., Shaw GM., Chase JG., Lin J. and Lotz T. (2004) Effect of hyperglycemia on mortality in the Christchurch Intensive Care Unit. New Zealand Medical Journal 117(1195).
  • Shaw GM., Chase JG., Rudge AD., Wake GC., Starfinger C., Lam Z., Lee D., Greenfield K. and Dove R. (2003) Rethinking sedation and agitation management in critical illness. Critical Care and Resuscitation 5: 109-120.
  • Lee DS. and Chia KK. (2002) A particle algorithm for sequential Bayesian parameter estimation and model selection. IEEE Transactions on Signal Processing 50(2): 326-336.
  • Lee DS. and Ong CA. (2001) Quasi-subtractive dithering. Signal Processing 81(11): 2321-2331.
  • Lee DS. and Priebe CE. (2000) Exact mean and mean squared error of the smoothed bootstrap mean intergrated squared error estimator. Computational Statistics 15(2): 169-181.
  • Lee DS. and Naiman DQ. (1996) A hybrid estimator for the cumulative probability of detection of surveillance radars. IEEE Transactions on Aerospace and Electronic Systems 32(1): 476-480.
Conference Contributions - Other
  • Lee DS. and Priebe CE. (2012) Bayesian vertex nomination. Kyoto, Japan: 11th World Meeting of the International Society for Bayesian Analysis (ISBA 2012), 25-29 Jun 2012.
  • Sainudiin R. (2012) Posterior Expectation of Regularly Paved Random Histograms. Auckland, New Zealand: Stochastic Networks Workshop, 12-13 Apr 2012.
  • Parente JD., Lin J., Shaw GM., Lee DS. and Chase JG. (2011) Bedside clinical data provide an hourly and accurate biomarker for severe sepsis classification. Taupo, New Zealand: Australia-New Zealand Intensive Care Society (ANZICS) ASM, 31 Mar-1 Apr 2011.
  • Scarrott C., MacDonald A. and Lee D. (2011) Modelling non-stationary extremal behaviour via mixture modelling. University of London, UK: 4th International Conference on Computing & Statistics (ERCIM'11), 17-19 Dec 2011.
  • Scarrott CJ., MacDonald A. and Lee DS. (2011) Flexible Extreme Value Mixture Modeling - Towards a Black Box? University of Lyon, Lyon, France: 7th Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, 27 Jun-1 Jul 2011.
  • Scarrott CJ., MacDonald A. and Lee DS. (2011) Flexible Extreme Value Mixture Modelling. Galway, Ireland: 31st Conference of Applied Statistics in Ireland (CASI 2011), 18-20 May 2011.
  • Scarrott CJ., MacDonald A., Lee DS. and Reale M. (2011) Non-stationary extreme value mixture modelling. Ascona, Switzerland: Environmental Risk and Extreme Events, 10-15 Jul 2011.
  • Zhao X., Lee D., Reale M., Oxley L. and Scarrott C. (2011) A Dirichlet process mixture model in fitting peaks over threshold. University of London, UK: 4th International Conference on Computing & Statistics (ERCIM'11), 17-19 Dec 2011.
Conference Contributions - Published
  • Innes CRH., Lee D., Chen C., Ponder-Sutton A. and Jones RD. (2010) Different models for predicting driving performance in people with brain disorders. In : 5226-5229. http://dx.doi.org/10.1109/IEMBS.2010.5626280.
Conference Contributions - Other
  • Lee D., Darlow B. and Zahari M. (2010) Bayesian nonparametric modelling of risk factors for retinopathy of prematurity. Benidorm, Spain: 9th Valencia International Meeting on Bayesian Statistics/2010 World Meeting of the International Society for Bayesian Analysis (ISBA), 3-8 Jun 2010.
Conference Contributions - Published
  • MacDonald A., Scarrott CJ. and Lee DS. (2010) Semi-parametric modelling for extremes with threshold estimation. In.
Conference Contributions - Other
  • Parente JD., Lee D., Lin J., Chase JG. and Shaw GM. (2010) A fast and accurate diagnostic test for severe sepsis using model-based insulin sensitivity and clinical data. Paris, France: Sepsis 2010, 1-3 Sep 2010.
  • Parente JD., Lee D., Lin J., Chase JG. and Shaw GM. (2010) An Hourly and Accurate Model-Based Insulin Sensitivity Clinical Biomarker for Sepsis in Critical Care Patients. Christchurch, New Zealand: Health Research Society of Canterbury (HRSC) Seminar Series, 26-26 Mar 2010.
  • Parente JD., Lee DS., Lin J., Chase JG. and Shaw GM. (2010) A Fast and Accurate Diagnostic Test for Severe Sepsis Using Kernel Classifiers. Coventry, UK: UKACC International Conference on CONTROL 2010, 7-10 Sep 2010.
  • Parente JD., Lee DS., Lin J., Chase JG. and Shaw GM. (2010) Diagnostic test properties of a model-based clinical biomarker for sepsis in critical care. Munich, Germany: 8th World Congress on Trauma, Shock, Inflammation and Sepsis (TSIS 2010), 9-13 Mar 2010.
  • Parente JD., Lee DS., Lin J., Chase JG. and Shaw GM. (2010) Kernel density estimates to diagnose sepsis in critical care patients. Queenstown, New Zealand: 46th Applied Mathematics Conference (ANZIAM 2010), 31 Jan-4 Feb 2010.
  • Teng G., Harlow J., Lee D. and Sainudiin R. (2010) Statistical Regular Sub-pavings for Multivariate Density Estimation of Massive Data. Goulburn, Australia: Centre for Statistical and Survey Methodology Fellows Research Meeting, Goulburn 13, 21-21 Jul 2010.
  • Teng G., Harlow J., Lee D. and Sainudiin R. (2010) Statistical regular sub-pavings for multivariate density estimation. Benidorm, Spain: Ninth Valencia International Meeting on Bayesian Statistics/2010 World Meeting of the International Society for Bayesian Analysis, 3-8 Jun 2010.
  • Le Compte AJ., Lynn A., Chase JG., Lee DS., Wong XW., Lin J. and Hann CE. (2009) Model-based targeted control with stochastic forecasting for regulation of glycemia in ELBW neonates. San Francisco, CA, USA: 9th Annual Diabetes Technology Meeting, 5-7 Nov 2009.
  • Le Compte AJ., Lynn A., Chase JG., Shaw GM., Russel G., Blakemore A., Lee DS. and Wong XW. (2009) Neonatal Glycemic Control: Model Validation and In Silico Virtual Patient Trials. Bethesda, MD, USA: 8th Annual Diabetes Technology Meeting, 13-15 Nov 2008.
  • Le Compte AJ., Lynn AM., Chase JG., Shaw GM., Lin J., Hann CE. and Lee DS. (2009) Blood Glucose Control in Preterm VLBW Infants Using Model-based Methods. Christchurch, New Zealand: 29th Annual Scientific Meeting of the Perinatal Society of New Zealand, 16-16 Oct 2009.
  • Lin J., Parente JD., Chase JG., Shaw GM., Blakemore A., Le Compte AJ., Pretty C., Razak N., Lee D. and Hann CE. (2009) Development of a Model-Based Clinical Sepsis Biomarker for Critically Ill Patients. Aalborg, Denmark: 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS 09), 12-14 Aug 2009.
Conference Contributions - Published
  • Lin J., Parente JD., Chase JG., Shaw GM., Blakemore AJ., LeCompte AJ., Pretty C., Razak NN., Lee DS. and Hann CE. (2009) Development of a model-based clinical sepsis biomarker for critically ill patients. In IFAC Proceedings Volumes (IFAC-PapersOnline) 7(PART 1): 13-18. http://dx.doi.org/10.3182/20090812-3-DK-2006.0076.
  • MacDonald A., Scarrott C. and Lee D. (2009) Bayesian Inference for an Extreme Value Mixture Model. In.
Conference Contributions - Other
  • MacDonald A., Scarrott CJ. and Lee DS. (2009) Quantile estimation using extreme value mixture models with application. Wellington, New Zealand: New Zealand Statistical Association, 2-3 Sep 2009.
  • Parente JD., Lee DS., Lin J., Chase JG. and Shaw GM. (2009) Diagnostic Test Properties of a Model-Based Clinical Biomarker for Sepsis in Critical Care Patients. Victoria University of Wellington, New Zealand: New Zealand Postgraduate Conference (NZPGC), 20-21 Nov 2009.
  • Zahari M., Lee D., Russell G., Darlow B., Scarrott C. and Reale M. (2009) Identifying unstable preterm infants using measures of oxygen saturation in different behavioural states. Taupo, New Zealand: International Biometric Society Australasian Region Conference 2009: Biometrics on the Lake, 29 Nov-3 Dec 2009.
  • Bentley J., Lee D. and Robert C. (2008) Gibbs CFTP and Bayesian variable selection. Hamilton Island, Australia: 9th World Conference of the International Society for Bayesian Analysis (ISBA 2008), 21-26 Jul 2008.
Conference Contributions - Published
  • Bradley BA., Dhakal RP., Cubrinovski M., MacRae GA. and Lee DS. (2008) Seismic loss estimation for efficient decision making. In 2008 NZSEE Conference Proceedings.
Conference Contributions - Other
  • MacDonald A., Scarrott CJ., Lee DS., Reale M., Russell G., Zahari M. and Zhao X. (2008) Quantile estimation using extreme value mixture model with application to neonatal physiological measurements. Melbourne, Australia: 19th Biennial Australian Statistical Conference (ASC2008), 30 Jun-3 Jul 2008.
  • Zahari M., Lee DS., Russell G., Scarrott C., Reale M., Tunnicliffe-Wilson G., Zhao X. and MacDonald A. (2008) Quantifying blood oxygen levels in preterm infants using coefficient of variation. Melbourne, Australia: 19th Biennial Australian Statistical Conference (ASC2008), 30 Jun-3 Jul 2008.
  • (2007) Breath Ammonia Reduction Ratio (ARR) Measures Dialysis Efficacy. San Francisco, CA, USA: American Society of Nephrology (ASN) Renal Week 2007, 31 Oct-5 Nov 2007.
Conference Contributions - Published
  • (2007) Classification Algorithms for SIFT-MS Medical Diagnosis. In Proceedings of the 29th Annual International Conference of the IEEE EMBS: 5178-5181. http://dx.doi.org/10.1109/IEMBS.2007.4353508.
Conference Contributions - Other
  • Bentley J., Lee D. and Robert C. (2007) Bayesian Analysis of Linear Regression Models Using Exact Markov Chain Monte Carlo. Christchurch, New Zealand: New Zealand Statistical Association (NZSA) Conference 2007, 4-4 Jul 2007.
  • Bentley J., Lee D. and Robert C. (2007) Exact Markov chain Monte Carlo and Bayesian variable selection. Brisbane, Australia: Spring Bayes Conference, 26-28 Sep 2007.
  • Chase JG., Shaw GM., Le Compte A., Lee DS., Lonergan T., Willacy M., Wong XW., Lin J., Lotz T. and Hann CE. (2007) Intensive Insulin Therapy and the Artificial Pancreas in Critical Care - Pitfalls? Practicalities and Performance. San Francisco, CA, USA: 7th Annual Diabetes Technology Meeting, 25-27 Oct 2007.
Conference Contributions - Published
  • Moorhead K., Lee D., Chase JG., Moot A., Ledingham K., Scotter J., Allardyce R., Senthilmohan S. and Endre Z. (2007) Classification Algorithms for SIFT-MS Medical Diagnosis. In Proceedings of the 29th Annual International Conference of the IEEE EMBS: 5178-5181. http://dx.doi.org/10.1109/IEMBS.2007.4353508.
  • Zhao X., Hou Q., Lee D., Reale M., Scarrott C., Russell G., MacDonald A. and Zahari M. (2007) A Comparison between Alternative Volatility Estimations: Application on Blood Oxygen Concentration of Preterm Infants. In MODSIM 2007 International Congress on Modelling and Simulation Proceedings: 2027-2033.
Conference Contributions - Other
  • Zhao X., Hou Q., Reale M., Scarrott C., Russell G., Lee D., Tunnicliffe-Wilson G., MacDonald A. and Zahari M. (2007) Stochastic volatility of oxygen concentration in preterm infants. Brisbane, Australia: Workshop on Non-linear and Complex System Analysis, 27-29 Sep 2007.
  • Chase JG., Lin J., Lee D., Shaw GM., Lotz T., Hann CE. and Wong J. (2006) Modelling Stochastic Insulin Sensitivity Variability in Critical Care. Christchurch, New Zealand: Canterbury Health Research Conference, 26-27 Aug 2005.
Conference Contributions - Published
  • Chase JG., Lin J., Lee DS., Wong J., Hann CE. and Shaw GM. (2006) Stochastic insulin sensitivity models for tight glycaemic control. In Modelling and Control in Biomedical Systems 2006 (including Biological Systems): 345-350.
Conference Contributions - Other
  • Chase JG., Shaw G., Le Compte A., Lee D., Lonergan T., Willacy M., Wong XW., Lin J., Lotz T. and Hann C. (2006) Tight Glycaemic Control in Critical Care Using Insulin and Nutrition - the SPRINT Protocol. Atlanta, GA, USA: 6th Annual Diabetes Technology Meeting of the Diabetes Technology Society, 2-4 Nov 2006.
  • Lee DS., Roscoe J. and Russell G. (2006) Developing Hidden Markov Models for Aiding the Assessment of Preterm Babies' Health. Singapore: International Conference on Biomedical and Pharmaceutical Engineering (ICBPE 2006), 11-14 Dec 2006.
  • Lee DS. and Bell G. (2005) Introduction to particle filters and an application in change-point detection. Christchurch, New Zealand: Statistics and Probability in Communications Engineering (SPICE 2005), 1 Sep 2005.
  • Lee DS., Iyengar S., Czanner G. and Roscoe J. (2005) Bayesian wavelet representation of neuron signals via perfect sampling. Bormio, Italy: 2nd IMS-ISBA Joint Meeting, 12 Jan 2005.
  • Lee DS., Russell G., Reale M., Tunnicliffe-Wilson G. and Roscoe J. (2005) Analysing physiological signals from preterm babies. Wellington, New Zealand: 2nd Workshop on Hidden Markov Models and Complex Systems, 5 Dec 2005.
Conference Contributions - Published
  • Lin J., Lee D., Chase JG., Shaw GM., Hann CE., Lotz T. and Wong XW. (2005) Stochastic Modelling of Insulin Sensitivity Variability in Critical Care. In 4A1-05: 4pp.
Conference Contributions - Other
  • Rudge AD., Chase JG., Lee DS. and Shaw GM. (2005) Physiologically-based model of agitation-sedation dynamics in critically ill patients incorporating endogenous agitation reduction. Singapore: 12th International Conference on Biomedical Engineering, 7 Dec 2005.
  • Rudge AD., Chase JG., Shaw GM. and Lee DS. (2005) Derivative-focused control of agitation-sedation dynamics in critically ill patients. Singapore: 12th International Conference on Biomedical Engineering, 7 Dec 2005.
  • Shaw GM., Chase JG., Lee DS., Bloomfield M., Doran CV., Lin J. and Lotz T. (2005) Peak and Range of Blood Glucose Are Also Associated With ICU Mortality. Phoenix, AZ, USA: 34th Critical Care Congress, Society of Critical Care Medicine (SCCM), 15 Jan 2005.
  • Shaw GM., Chase JG., Lee DS., Hooper E., Rudge AD. and Agogue F. (2005) Emerging Methods for Sedation and Agitation Management in Critical Illness. Phoenix, AZ, USA: 34th Critical Care Congress, Society of Critical Care Medicine (SCCM), 15 Jan 2005.
  • Chase JG., Rudge AD., Shaw GM. and Lee DS. (2004) Sedation Management in the Critically Ill Using Dynamic Systems Modeling. Dunedin, New Zealand: New Zealand Mathematics Society (NZMS) Colloquium and MISG SIAM, 6 Dec 2004.
Conference Contributions - Published
  • Lin J., Chase JG., Shaw GM., Lotz T., Hann CE., Doran CV. and Lee DS. (2004) Long Term Verification of Glucose-Insulin Regulatory System Model Dynamics. In EMBC 2004 Conference Proceedings 1: 758-761.
  • Rudge AD., Chase JG., Shaw GM. and Lee D. (2004) Automated Agitation Management Accounting for Saturation Dynamics. In EMBC 2004 Conference Proceedings 2: 3459-3462.
  • Rudge AD., Chase JG., Shaw GM. and Lee D. (2004) Physiologically-based Minimal Model of Agitation-Sedation Dynamics. In EMBC 2004 Conference Proceedings 1: 774-777.
Conference Contributions - Other
  • Rudge AD., Shaw GM., Chase JG. and Lee DS. (2004) Analysis of model-based clinical sedation management. Christchurch, New Zealand: New Zealand Physics and Engineering in Medicine (NZPEM), Annual Conference of the Australasian College of Physical Scientists and Engineers in Medicine (ACPEM), 22 Nov 2004.
  • Rudge AD., Shaw GM., Chase JG. and Lee DS. (2004) Physiologically-Based Minimal Model of Agitation-Sedation Model Dynamics. Christchurch, New Zealand: 2004 Canterbury Health Sciences Research Conference (CHSRC 2004), 5 Sep 2004.
  • Rudge AD., Shaw GM., Chase JG. and Lee DS. (2004) Physiologically-based minimal model of agitation-sedation model dynamics. Christchurch, New Zealand: Canterbury Health Sciences Research Conference (CHSRC 2004), 5 Sep 2004.
  • Shaw GM., Chase JG., Lee D., Hooper E., Rudge AD. and Agogue F. (2004) Emerging methods for sedation and agitation management in critical illness. Wellington, New Zealand: Australian and New Zealand Intensive Care Society (ANZICS) New Zealand Region Annual Scientific Meeting, 24 Mar 2004.
  • Shaw GM., Chase JG., Lee DS., Bloomfield M., Doran CV. and Lin J. (2004) How high are blood glucose levels in intensive care? Wellington, New Zealand: Australian and New Zealand Intensive Care Society (ANZICS) New Zealand Region Annual Scientific Meeting, 24 Mar 2004.
  • Shaw GM., Chase JG., Lee DS., Wake GC., Lin J., Browne P., Robertson M. and Doran CV. (2004) Targeted glucose control in critically ill patients. Wellington, New Zealand: Australian and New Zealand Intensive Care Society (ANZICS) New Zealand Region Annual Scientific Meeting, 24 Mar 2004.
  • Lee DS., Rudge AD., Chase JG., Hudson I., Shaw GM., Johnston L. and Wake GC. (2003) Dynamic model assessment using a probability band for local linear kernel regression with an application in agitation-sedation modeling. Palmerson North, New Zealand: New Zealand Statistical Association 5th Annual Conference, 2 Jul 2003.
Conference Contributions - Published
  • Liew M., Lee D., Chia N. and Cheng KP. (2002) Bayesian algorithms for the passive location of a stationary emitter by a moving platform. In.
Conference Contributions - Other
  • Chia NKK. and Lee DS. (2001) Bayesian computations using the sequential MCMC filter. Seoul, South Korea: 53rd Session of the International Statistical Institute (ISI, 2001), 22 Aug 2001.
  • Lee DS. (2001) The sequential MCMC filter: Algorithm, motivations and applications. Henri Poincare Institute, Paris: Meeting on Particle Systems and Filtering, 18 Jun 2001.
  • Lee DS. and Chia NKK. (2001) The sequential MCMC filter: Formulation and applications. Singapore: Special Session on Resampling and Montre Carlo Methods for Statistical Signal Processing, 11th IEEE Workshop on Statistical Signal Processing, 6 Aug 2001.
  • Chia KK. and Lee DS. (2000) Sequential MCMC filtering for dynamic and static models. Indianapolis, IN, USA: 2000 Joint Statistical Meetings, 13 Aug 2000.
  • Lee DS. (1999) Distribution-based signal processing. John Hopkins University, Baltimore, USA: 4th North American Meeting of New Researchers in Statistics and Probability, 4 Aug 1999.
  • Lee DS. and Chia KK. (1999) Recursive estimation for noise-free state models by Monte Carlo filtering. Baltimore, USA: 1999 Proceedings of the Section on Bayesian Statistical Science, Joint Statistical Meetings, 8 Aug 1999.
  • Lee DS. and Priebe CE. (1998) Exact mean and mean squared error of the smoothed bootstrap mean integrated squared error estimator. Dallas, TX, USA: 1998 Joint Statistical Meetings, 9 Aug 1998.
  • Lee DS. (1997) Dynamic state estimation using the SIR filter. Singapore: MINDEF-NUS Joint R&D Seminar, 1 Jan 1997.
  • Lee DS. (1997) Selecting sample sizes for the sampling/importance resampling filter. Anaheim, CA, USA: 1997 Joint Statistical Meetings, 10 Aug 1997.
  • Lee DS. (1995) A new algorithm for recursive state estimation for nonlinear, non-Gaussian dynamic state-space models. Orlando, FL, USA: Joint Statistical Meetings, 13 Aug 1995.
Film/Video
  • Lee DS., Chai S., Liew M. and Chia N.(2001) The Bayesian revolution. .
Additional Publications
  • Lee DS. and Priebe CE. (2012) Bayesian vertex nomination.Commissioned by Johns Hopkins University. 25pp.
  • Scarrott C., MacDonald A., Lee DS. and Reale M. (2011) Non-stationary Extreme Value Mixture Modelling with Application to Pollution Modelling. Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland: EPFL Statistics Seminar.
  • Scarrott CJ., MacDonald A. and Lee DS. (2011) Non-Stationary Extreme Value Mixture Modelling. Durham University, UK: Statistics Seminar.
  • Scarrott CJ., MacDonald A. and Lee DS. (2011) Threshold uncertainty under non-stationarity. Mathematics and Statistics Department, University of Lancaster, UK: Lancaster Extremes/Time Series Reading Group Seminar.
  • Scarrott CJ., MacDonald A., Zhao X., Lee D., Reale M. and Oxley L. (2011) Tails of a Statistical Extremist. National University of Ireland Galway, Ireland: Mathematics, Statistics and Applied Mathematics Seminar.
  • Harlow J., Lee D., Sainudiin R., Teng G., Harlow J., Lee D., Sainudiin R. and Teng G. (2009) Statistical Regular Sub-pavings in Multi-variate Density Estimation. Department of Mathematics, Uppsala University, Sweden: Computer-aided Proofs in Analysis Seminar Series, 12 Jun 2009.

Affiliations

  • New Zealand Statistical Association (NZSA) (Professional Organisation): Member

Research Groups

  • Centre for Bioengineering
  • Computational Mathematics

Research Projects

  • Statistical Regular Pavings and their Computable Mappings
  • Word Sense Disambiguation

Key Methodologies

  • Bootstrap
  • Kernel density estimation
  • Kernel regression
  • Markov chain Monte Carlo
  • Perfect sampling
  • Particle filters
  • Sequential Monte Carlo
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