Adrian Baddeley

Adrian John Baddeley (born May 25, 1955)[1] is a statistical scientist working in the fields of spatial statistics,[2] statistical computing, stereology[3] and stochastic geometry.

Adrian Baddeley
Born (1955-05-25) May 25, 1955
Melbourne, Australia
EducationAustralian National University
University of Cambridge
Awards
Scientific career
FieldsStatistics
InstitutionsUniversity of Bath
University of Western Australia
CSIRO
Curtin University
Doctoral advisorDavid George Kendall
Websiteoasisapps.curtin.edu.au/staff/profile/view/Adrian.Baddeley

Life and career

Baddeley was born in Melbourne, Australia and educated at Eltham High School there, and studied mathematics and statistics at the Australian National University (honours supervisor: Roger Miles) and the University of Cambridge (PhD supervisor: David George Kendall). He was elected a Junior Research Fellow at Trinity College, Cambridge in the second year of his PhD. Subsequently, he worked for the University of Bath (1982–85), the CSIRO Division of Mathematics and Statistics, Sydney (1985–88), the Centrum Wiskunde & Informatica, Amsterdam, the Netherlands (1988–94), the University of Western Australia (where he was Professor of Statistics from 1994 to 2010), CSIRO Division of Mathematics, Informatics and Statistics, Perth (2010-2012), and the Centre for Exploration Targeting at the University of Western Australia (2013-2014). He is now Professor of Computational Statistics at Curtin University.

Research

Stereology

Classical methods of stereology were limited by the requirement that the cutting plane be randomly oriented. Baddeley developed an alternative technique[4] in which the cutting plane is "vertical" (parallel to a fixed axis, or perpendicular to a fixed surface) making it possible to apply quantitative microscopy to cylindrical core samples, samples of flat materials, and longitudinal sections.

Baddeley is a leading advocate of statistical ideas in stereology. With Cruz-Orive he demonstrated the role of the Horvitz-Thompson weighting principle and the Rao-Blackwell theorem in stereological sampling.[3]

Spatial statistics

Baddeley is one of the world leading specialists in point pattern analysis, a connection of stochastics and geometry applied to the analysis of (mainly) 2D point distributions in euclidean space. He has developed statistical methodologies for analyzing the structure of spatial patterns of points, including methods based on survival analysis,[5] nonparametrics,[6][7] new point process models,[8][9] model-fitting principles (i.e. 'regression analysis' for point patterns) and algorithms[10][11][12] and open-source software.[13]

Honours and awards

References
  1. Hazelton, Martin L.; Turner, R. (2021). "A Festschrift for Adrian Baddeley". Australian & New Zealand Journal of Statistics. 63 (1): 1–5. doi:10.1111/anzs.12322. ISSN 1369-1473. S2CID 238895437.
  2. A. Baddeley, E. Rubak and R.Turner, "Spatial Point Patterns: Methodology and Applications with R", Chapman and Hall/CRC Press 2015.
  3. A. Baddeley and E.B. Vedel Jensen, Stereology for Statisticians, Chapman and Hall/CRC Press 2005.
  4. A.J. Baddeley, H.J.G. Gundersen, and L.M. Cruz-Orive. Estimation of surface area from vertical sections. Journal of Microscopy, 142:259-276, 1986
  5. A.J. Baddeley and R.D. Gill, Kaplan-Meier estimators of interpoint distance distributions for spatial point processes. Annals of Statistics 25: 263-292, 1997.
  6. M.N.M. van Lieshout and A.J. Baddeley, A nonparametric measure of spatial interaction in point patterns. Statistica Neerlandica 50:344-361, 1996.
  7. A. Baddeley, J. Møller and R. Waagepetersen, Non- and semiparametric estimation of interaction in inhomogeneous point patterns, Statistica Neerlandica 54: 329-350, 2000.
  8. A.J. Baddeley and J. Møller, Nearest-neighbour Markov point processes and random sets. International Statistical Review 57:89-121, 1989.
  9. A.J. Baddeley and M.N.M. van Lieshout, Area-interaction point processes. Annals of the Institute of Statistical Mathematics 47:601-619, 1995.
  10. A. Baddeley and T.R. Turner, Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42:283-322, 2000
  11. A. Baddeley, Time-invariance estimating equations. Bernoulli 6: 783-808, 2000.
  12. A. Baddeley, J.-F. Coeurjolly, E. Rubak and R. Waagepetersen, Logistic regression for spatial Gibbs point processes. Biometrika 101:377-392, 2014.
  13. A. Baddeley and R. Turner. Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12(6):1-42, 2005. www.jstatsoft.org
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