The Belz Lecture commenced in 1969 when Clem Pratt was the Victorian Branch President of the Statistical Society of Australia. It has become the premier event of the Victorian and Tasmanian Branch calendar and is followed by the annual Belz dinner. The Lecture is named in honour of Maurice Belz, the Foundation Professor of Statistics at the University of Melbourne, who was largely responsible for setting up the first autonomous Department of Statistics in Australia. The 1969 meeting notice states:
“The first Maurice H. Belz Lecture, recently inaugurated by the Statistical Society in honour of Professor Maurice Belz for his work in establishing and advancing the science of Statistics in Australia, will be given in the Sisalkraft Lecture Theatre, Architecture School, University of Melbourne, on Tuesday, November 25th, at 7:45 pm.”
See below for a brief biography of Belz.
Initially the Belz Lecturers knew Belz personally. As the supply of prominent statisticians in this category diminished, the criterion for selecting the Belz Lecturer changed. The honour was usually given to a high-level statistician with some association with the University of Melbourne, such as a staff member or former student. Today, invitations to give the Belz Lecture are issued more broadly, but our relationship with the University of Melbourne has continued, with the Belz Lecture usually co-hosted with the University.
The choice of Belz Lecturer is made by the current President of the Victorian and Tasmanian Branch, after discussion with the Branch Council. The main criteria are a good reputation as a speaker and an ability to provide insight on issues of concern to the wider statistical community.
The Belz Lecture is not an academic seminar. It should appeal to a broad range of statisticians and be at a level accessible to all. A full list of titles of past Belz Lectures follows.
Year
|
Lecturer
|
Title
|
2023 | I. Koch | Mathematics, Gender and Statistics |
2022 | D. Neiger |
From counting blueberries to Chief Statistician: practicing the theory of statistics
|
2021 | A. Forbes | Tales of clinical trials, tribulations, twists and turns |
2020 | T. Dickinson
| "To be Trusted is a Greater Compliment than to be Loved", A Maxim for Official Statistics? |
2019 |
A. Ugoni |
Statistics is the Crown Jewel of Data Science |
2018 |
D. Cook |
Human vs computer. When visualising data, who wins? |
2017 |
N. Cressie |
A Bird's-Eye View of Statistics for Remote Sensing Data |
2016 |
L. Ryan |
But I'm a data scientist too, aren't 1? |
2015 |
D.Balding |
Statistical Evaluation of Evidence in Criminal Casework |
2014 |
J. Henstridge |
The Statistician as an Expert. The Truth, the Whole Truth and Statistics. |
2013
|
I. White
|
Synthesizing medical literature
|
2012
|
C. Wild
|
The need for speed
|
2011
|
K. Mengersen
|
Adventures in Bayesian statistics
|
2010
|
C. Lloyd
|
Data based public debate: Why aren’t we at the centre of it?
|
2009
|
J. Carlin
|
Filling in the missing values: Multiple imputation and the magic of applied statistics
|
2008
|
W. Dunsmuir
|
Time Series That Count!
|
2007
|
A. Welsh
|
Fisher and inference for scores
|
2006
|
R. J. Hyndman
|
Forecasting and the importance of being uncertain
|
2005
|
A. Baddeley
|
Sampling for vegetables
|
2004
|
D. Lievesley
|
The role of an international statistician
|
2003
|
D. Vere-Jones
|
Teacher and student: glimpses in the life and times of the Russian mathematicians A.Y. Khinchin and B.V. Gnedenko
|
2002
|
R. Watson
|
A statistical hotchpotch
|
2001
|
D. Trewin
|
The importance of a quality culture
|
2000
|
G. Laslett
|
The Jinmium controversy
|
1999
|
O. Mayo
|
Assessing interaction in genetical systems
|
1998
|
J. Matthews
|
Breakthrough or bunkum? Sources of bias in the design, conduct, analysis and interpretation of clinical trials
|
1997
|
B. Brown
|
The importance of being smooth
|
1996
|
S. Sheather
|
What every statistician should know about robust and nonparametric regression
|
1995
|
I.R. Gordon
|
Tall tales but true: some data-based short stories
|
1994
|
S. Wilson
|
Past, present and future challenges at the interfaces of statistical science and molecular genetics
|
1993
|
A. Pettitt
|
Stochastic approximation: an opportunity for statistical modelling? (Or MC all squared = E for ecstasy?)
|
1992
|
T.C. Brown
|
Does passive smoking cause lung cancer and did dust cause Mr Smith’s lung cancer?
|
1991
|
D. McNeil
|
Statistical graphics and experimental research
|
1990
|
R. Sandland
|
The Division of Mathematics and Statistics at CSIRO: hallucinations, nightmares and visions
|
1989
|
J. Darroch
|
Where do probabilities come from? Sources of stochastic variability
|
1988
|
D.J. Scott
|
Statistics and computing or why I can’t choose a computer
|
1987
|
R.G. Jarrett
|
Statistics – the way forward
|
1986
|
P.G. Hall
|
Changes and challenges of contemporary statistical theory
|
1985
|
D. Ironmonger
|
Statistical perspectives – some effects on society
|
1984
|
T.P. Speed
|
Some statistical aspects of nuclear materials safeguards
|
1983
|
D.J. Daley
|
Ranking individuals
|
1982
|
G.S. Watson
|
Statistical problems in the earth sciences
|
1981
|
E.J. Hannan
|
Is theory practically useless?
|
1980
|
C.C. Heyde
|
Trends in the statistical sciences
|
1979
|
J.S. Maritz
|
Standard errors: some new thoughts on an old problem
|
1978
|
G.A. Watterson
|
Testing for selection in genetic evolution
|
1977
|
N.G. Becker
|
Models and designs for experiments with mixtures
|
1976
|
P.D. Finch
|
The crude analysis of survivorship data
|
1975
|
J.M. Gani
|
Some aspects in the development of statistics in Australia
|
1974
|
P.J. Brockwell
|
Probability: past and present
|
1973
|
C.R. Heathcote
|
The statistician and nuclear proliferation
|
1972
|
J.B. Douglas
|
Contagion isn’t catching
|
1971
|
E.J. Williams
|
Whither statistical principles?
|
1970
|
P.A.P. Moran
|
Maximum likelihood estimators under anomalous conditions
|
1969
|
W.J. Ewens
|
Statistics: a perspective from genetics
|
Maurice Belz: A Brief Biography
Maurice Belz was born on the 1 February 1897 at Auburn, Sydney. He was educated at Sydney Boys’ High School and The University of Sydney, from which he graduated with a B.Sc. in 1918. He was awarded the university medal in mathematics. In 1920 he received a Barker travelling scholarship, and completed his M.Sc. at Cambridge in 1922. He worked in the Cavendish Laboratory under Lord Rutherford.
In 1923 Belz took up a lectureship in mathematics at the University of Melbourne. In 1929 he introduced a course on the theory of statistics. With Professor J.H. Michell he published The elements of mathematical analysis(London, 1937). In 1948 the University of Melbourne, at Belz’ instigation, formed the first autonomous Department of Statistics in Australia. Belz, then associate professor, was appointed head, and was promoted to professor in 1955. He retired in 1963.
Many of the initial generation of Australia’s professional statisticians were either trained or taught in Belz’s department. He established a course for graduates of science and industry, and encouraged university researchers and industrial organizations to seek statistical assistance from departmental staff. During visits to Britain (1961, 1964 and 1970-1972) he worked as a consultant to the British Petroleum Company in London, and prepared Statistical Methods for the Process Industries (London, 1973) for publication.
Belz was elected a member of the International Statistical Institute in 1948, and he was made an honorary member of the Statistical Society of Australia in 1970. He was appointed Chevalier de la Légion d’Honneur in 1954. He died on 28 March 1975.
Adapted from Betty Laby (1993) Maurice Henry Belz (1897-1975). The Australian Dictionary of Biography, Volume 13, pp. 160-161.