Associate Professor Robert Clark

Robert Clark

RSFAS

Research School of Finance, Actuarial Studies & Statistics

Position
Associate Professor
Email
Robert.Clark@anu.edu.au
Office
Room 4.35, CBE Bld (26C)
https://researchportalplus.anu.edu.au/en/persons/robert-clark
Research areas

Statistics; Sample surveys; Statistics in ecology; Analysis of informatively selected data; Sample design.

Biography

Robert Clark is an Associate Professor in Statistics, an Accredited Statistician, and an Elected Member of the International Statistical Institute. Robert’s research interests broadly span the analysis of informatively selected samples, design of sample surveys and observational studies, small area estimation, analysis of binary data, and sampling subpopulations. He has extensive experience in sample surveys, statistical ecology, and applied statistics, both in research and in significant consulting projects. Robert’s work has attracted substantial research funding, including through an Australian Research Council Linkage Project, a Statistics New Zealand official statistics research grant, and research projects for a variety of Australian and New Zealand organisations. His research has been published in leading scholarly journals including the Journal of the Royal Statistical Society Series A and C, Statistics in Medicine, New Phytologist and the International Statistical Review. Robert also authored a major textbook on model-based survey sampling and a number of book chapters.  He has been an invited speaker at conferences held by the Australian, Canadian and American Statistical Associations, and has delivered the Ken Foreman lecture for the Statistical Society of Australia. Robert has also been an Associate Editor for a number of journals including the Journal of the Royal Statistical Society, Series A.

View ORCID profile

Research grants and awards

Chief Investigator, Australian Research Council (ARC) Linkage grant on Handling Missing Data in Complex Household Surveys, 2007 – 2010.

Chief Investigator of a project on Sampling for Subpopulations in Household Surveys with Application to Maori and Pacific Sampling, July 2007 – June 2008. Statistics New Zealand Official Statistics Research Fund.

Investigator on “The role of households, neighbourhoods and networks in social statistics”, funded by a 2008 – 2010 International Social Sciences Collaboration linkage grant between the ARC and the UK Economic and Social Research Council.

Research engagement and outreach

Associate Editor, Australian and New Zealand Journal of Statistics

Member, Australian Bureau of Statistics Methodology Advisory Committee


Additional information

Accredited Statistician (Statistical Society of Australia)

Elected Member of the International Statistical Institute

Teaching

Master of Statistical Data Analysis Example Study Plan (commencing semester 1)

  • For full requirements and course lists, see the MSDA Programs and Courses page, particularly the study tab.
     
  • Semester 1:
    • STAT7038 (Regression Modelling)
    • STAT7039 Principles of Mathematical Statistics
    • STAT6026 Graphical Data Analysis
    • one course from the elective list e.g.,:
      • COMP6730 (Programming for Scientists); or
      • POPH8101 (you will need a permission code from the Nat Centre for Epidemiology and Population Health); or
      • STAT6046 Financial Mathematics
         
  • Semester 2:
    • STAT8130 Generalised Linear Modelling
    • STAT7004 Introduction to Stochastic Processes
    • one course from the second list on Programs and Courses, e.g.,
      • STAT6016 Introduction to Applied Bayesian Analysis; or
      • STAT6017 Big Data Statistics
    • one course from the third elective lis on Programs and Courses e.g.,
      • COMP6730 Programming for Scientists; or
      • STAT6046 Financial Mathematics

Master of Statistical Data Analysis Example Study Plan (commencing semester 2)

  • For full requirements and course lists, see the MSDA Programs and Courses page, particularly the study tab.
     
  • Semester 2:
    • STAT7038 (Regression Modelling)
    • STAT7039 Principles of Mathematical Statistics
    • STAT6026 Graphical Data Analysis
    • one course from the third elective list on Programs and Courses, e.g.
      • COMP6730 (Programming for Scientists); or
      • STAT6046 Financial Mathematics
         
  • Semester 1:
    • STAT8140 Statistical Learning
    • two courses from the first or second list list on Programs and Courses, e.g.,
      • STAT7004 Introduction to Stochastic Processes
      • STAT6016 Introduction to Applied Bayesian Analysis
      • STAT8130 Generalised Linear Modelling
    • one course from any of the three lists on Programs and Courses e.g.
      • COMP6730 Programming for Scientists; or
      • STAT6046 Financial Mathematics; or
      • POPH8101 (you will need permission code from the Nat Centre for Epidemiology and Population Health)

Master of Statistics Example Study Plan (commencing semester 1)

  • For full requirements and course lists, see the MSTAT Programs and Courses page, particularly the study tab.
     
  • Year 1, Semester 1:
    • STAT7038 (Regression Modelling)
    • STAT7039 (Principles of Mathematical Statistics)
    • STAT6026 (Graphical Data Analysis)
      one course from the third list on Programs and Courses (e.g., COMP6730, Programming for Scientists)
       
  • Year 1, Semester 2:
    • STAT8130 (Generalised Linear Modelling)
    • STAT6016 (Introduction to Applied Bayesian Analysis)
    • STAT7004 (Introduction to Stochastic Processes)
    • one course from the third list on Programs and Courses (e.g., COMP6730, Programming for Scientists)
       
  • Year 2, Semester 1:
    • STAT8140 Statistical Learning
    • STAT6027 Statistical Inference
    • two courses from the second list on Programs and Courses (e.g., STAT7018, STAT6029, STAT6042, STAT8002)
       
  • Year 2, Semester 2:
    • two courses from STAT7006, STAT7017, STAT7050, STAT8056
    • two courses from the second or third list on Programs and Courses

Master of Statistics Example Study Plan (commencing semester 2)

  • For full requirements and course lists, see the MSTAT Programs and Courses page, particularly the study tab.
     
  • Year 1, Semester 2:
    • STAT7038 (Regression Modelling)
    • STAT7039 (Principles of Mathematical Statistics)
    • STAT6026 (Graphical Data Analysis)
      one course from the third list on Programs and Courses (e.g., COMP6730, Programming for Scientists)
       
  • Year 2, Semester 1:
    • STAT8130 (Generalised Linear Modelling)
    • STAT8140 Statistical Learning
    • STAT6027 Statistical Inference
    • one course from the third list on Programs and Courses (e.g., COMP6730, Programming for Scientists)
       
  • Year 2, Semester 2:
    • STAT6016 (Introduction to Applied Bayesian Analysis)
    • STAT7004 (Introduction to Stochastic Processes)
    • two courses from the second list on Programs and Courses (e.g., STAT7006, STAT7017, STAT7050, STAT8056)
       
  • Year 3, Semester 1:
    • two courses from the second list on Programs and Courses (e.g., STAT7018, STAT6029, STAT6042, STAT8002)
    • two courses from the second or third list on Programs and Courses