Dr Huang has an Honours degree in Science (Advanced Mathematics) from the University of Sydney, and a PhD (Statistics) from the University of Chicago on a McCormick Fellowship. He previously lectured at the University of Wisconsin-Madison and the University of Technology Sydney, before moving to the University of Queensland where he is currently the Statistics Major Convenor and Mathematics Honours Coordinator.
Journal Article: A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models
Philipson, Pete and Huang, Alan (2023). A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models. Statistics and Computing, 33 (4) 81, 1-16. doi: 10.1007/s11222-023-10244-0
Journal Article: On arbitrarily underdispersed discrete distributions
Huang, Alan (2022). On arbitrarily underdispersed discrete distributions. The American Statistician, 77 (1), 1-17. doi: 10.1080/00031305.2022.2106305
Journal Article: Temporal variation of imidacloprid concentration and risk in waterways discharging to the Great Barrier Reef and potential causes
Warne, Michael St.J., Turner, Ryan D.R., Davis, Aaron.M., Smith, Rachael and Huang, A. (2022). Temporal variation of imidacloprid concentration and risk in waterways discharging to the Great Barrier Reef and potential causes. Science of the Total Environment, 823 153556, 153556. doi: 10.1016/j.scitotenv.2022.153556
Analytics for the Australian Grains Industry (AAGI)
(2023–2027) Grains Research & Development Corporation
Organ Transplantation as a Model of Reversible Frailty
(2023–2026) NHMRC IDEAS Grants
Statistical Methods for Count Data Arising from Agricultural Experiments
Doctor Philosophy
Nonparametric and doubly-nonparametric methods in generalized linear models.
(2018) Doctor Philosophy
Bayesian methods to treat geotechnical uncertainty in risk based design of open pit slopes
(2020) Doctor Philosophy
Extended Bradley-Terry models for head-to-head competitions
Bradley-Terry models with multivariate latent skill parameters for modelling non-transitive relationships between teams in head-to-head competitions. Applications to NBA, NRL and cricket data.
Models for counts
Count data often exhibit deviations from a nominal Poisson distribution. This project will look at ways to handle such deviations, both parametrically and non-parametrically.
Are pesticide concentrations increasing or decreasing in rivers that discharge to the Great Barrier Reef?
Project description
Monitoring of up to 86 pesticides has been conducted in rivers that discharge to the Great Barrier Reef for over 12 years. The crucial question of whether concentrations of individual pesticides are increasing or decreasing in these rivers has only been answered for one insecticide, imidacloprid and is currently being addressed for diuron. In this desktop project you will use trend analysis to determine if pesticide concentrations are changing over time. You will work with scientists from the Queensland Department of Environment and Science. Your project will generate results that will inform future management actions and policies that aim to improve the quality of water entering the Great Barrier Reef lagoon. It is expected that the results will be publishable. There is a $5 000 scholarship associated with this project.
Relevant Fields
Pollution Science, Water Quality, Data Analysis, Pesticides
Supervisors
Assoc. Prof. Michael Warne (SEES), Dr Ryan Turner (SEES), Dr Alan Huang (School of Mathematics and Physics), Catherine Neelamraju and Dr Reinier Mann (Queensland Department of Environment and Science)
A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models
Philipson, Pete and Huang, Alan (2023). A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models. Statistics and Computing, 33 (4) 81, 1-16. doi: 10.1007/s11222-023-10244-0
On arbitrarily underdispersed discrete distributions
Huang, Alan (2022). On arbitrarily underdispersed discrete distributions. The American Statistician, 77 (1), 1-17. doi: 10.1080/00031305.2022.2106305
Warne, Michael St.J., Turner, Ryan D.R., Davis, Aaron.M., Smith, Rachael and Huang, A. (2022). Temporal variation of imidacloprid concentration and risk in waterways discharging to the Great Barrier Reef and potential causes. Science of the Total Environment, 823 153556, 153556. doi: 10.1016/j.scitotenv.2022.153556
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels
Huang, Alan, Sippel, Lucas and Fung, Thomas (2021). Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels. Computational Statistics, 37 (2), 551-563. doi: 10.1007/s00180-021-01144-w
Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts
Huang, A. and Kim, A. S. I. (2019). Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts. Communications in Statistics: Theory and Methods, 50 (13), 1-12. doi: 10.1080/03610926.2019.1682162
Profile likelihood ratio tests for parameter inferences in generalised single-index models
Zhang, Nanxi and Huang, Alan (2018). Profile likelihood ratio tests for parameter inferences in generalised single-index models. Journal of Nonparametric Statistics, 30 (4), 1-16. doi: 10.1080/10485252.2018.1506121
Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts
Huang, Alan (2017). Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts. Statistical Modelling: An International Journal, 17 (6), 359-380. doi: 10.1177/1471082X17697749
On generalized estimating equations for vector regression
Huang, Alan (2017). On generalized estimating equations for vector regression. Australian and New Zealand Journal of Statistics, 59 (2), 195-213. doi: 10.1111/anzs.12191
Orthogonality of the mean and error distribution in generalized linear models
Huang, Alan and Rathouz, Paul J. (2017). Orthogonality of the mean and error distribution in generalized linear models. Communications in Statistics - Theory and Methods, 46 (7), 3290-3296. doi: 10.1080/03610926.2013.851241
Joint estimation of the mean and error distribution in generalized linear models
Huang, Alan (2014). Joint estimation of the mean and error distribution in generalized linear models. Journal of The American Statistical Association, 109 (505), 186-196. doi: 10.1080/01621459.2013.824892
Self-organization of bacterial biofilms is facilitated by extracellular DNA
Gloag, Erin S., Turnbull, Lynne, Huang, Alan, Vallotton, Pascal, Wang, Huabin, Nolan, Laura M., Mililli, Lisa, Hunt, Cameron, Lu, Jing, Osvath, Sarah R., Monahan, Leigh G., Cavaliere, Rosalia, Charles, Ian G., Wand, Matt P., Gee, Michael L., Prabhakar, Ranganathan and Whitchurch, Cynthia B. (2013). Self-organization of bacterial biofilms is facilitated by extracellular DNA. Proceedings of the National Academy of Sciences of the United States of America, 110 (28), 11541-11546. doi: 10.1073/pnas.1218898110
Density estimation and nonparametric inferences using maximum likelihood weighted kernels
Huang, Alan (2013). Density estimation and nonparametric inferences using maximum likelihood weighted kernels. Journal of Nonparametric Statistics, 25 (3), 561-571. doi: 10.1080/10485252.2013.797090
Simple marginally noninformative prior distributions for covariance matrices
Huang, Alan and Wand, M. P. (2013). Simple marginally noninformative prior distributions for covariance matrices. Bayesian Analysis, 8 (2), 439-452. doi: 10.1214/13-BA815
Proportional likelihood ratio models for mean regression
Huang, Alan and Rathouz, Paul J. (2012). Proportional likelihood ratio models for mean regression. Biometrika, 99 (1), 223-229. doi: 10.1093/biomet/asr075
Robust permutation tests for two samples
Huang, Alan, Jin, Rungao and Robinson, John (2009). Robust permutation tests for two samples. Journal of Statistical Planning and Inference, 139 (8), 2631-2642. doi: 10.1016/j.jspi.2008.12.003
Directing human attention with pointing
Wang, Xun, Williams, Mary-Anne, Gardenfors, Peter, Vitale, Jonathan, Abidi, Shaukat, Johnston, Benjamin, Kuipers, Benjamin and Huang, Alan (2014). Directing human attention with pointing. 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014, Edinburgh, United Kingdom, 25 - 29 August 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ROMAN.2014.6926249
Analytics for the Australian Grains Industry (AAGI)
(2023–2027) Grains Research & Development Corporation
Organ Transplantation as a Model of Reversible Frailty
(2023–2026) NHMRC IDEAS Grants
Statistical Methods for Count Data Arising from Agricultural Experiments
Doctor Philosophy — Principal Advisor
Other advisors:
Nonparametric and doubly-nonparametric methods in generalized linear models.
(2018) Doctor Philosophy — Principal Advisor
Bayesian methods to treat geotechnical uncertainty in risk based design of open pit slopes
(2020) Doctor Philosophy — Associate Advisor
Other advisors:
(2020) Doctor Philosophy — Associate Advisor
Other advisors:
Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.
Extended Bradley-Terry models for head-to-head competitions
Bradley-Terry models with multivariate latent skill parameters for modelling non-transitive relationships between teams in head-to-head competitions. Applications to NBA, NRL and cricket data.
Models for counts
Count data often exhibit deviations from a nominal Poisson distribution. This project will look at ways to handle such deviations, both parametrically and non-parametrically.
Are pesticide concentrations increasing or decreasing in rivers that discharge to the Great Barrier Reef?
Project description
Monitoring of up to 86 pesticides has been conducted in rivers that discharge to the Great Barrier Reef for over 12 years. The crucial question of whether concentrations of individual pesticides are increasing or decreasing in these rivers has only been answered for one insecticide, imidacloprid and is currently being addressed for diuron. In this desktop project you will use trend analysis to determine if pesticide concentrations are changing over time. You will work with scientists from the Queensland Department of Environment and Science. Your project will generate results that will inform future management actions and policies that aim to improve the quality of water entering the Great Barrier Reef lagoon. It is expected that the results will be publishable. There is a $5 000 scholarship associated with this project.
Relevant Fields
Pollution Science, Water Quality, Data Analysis, Pesticides
Supervisors
Assoc. Prof. Michael Warne (SEES), Dr Ryan Turner (SEES), Dr Alan Huang (School of Mathematics and Physics), Catherine Neelamraju and Dr Reinier Mann (Queensland Department of Environment and Science)
Fingerprinting water
We have spectral sensor probes in 56 rivers that discharge to the Great Barrier Reef (GBR) lagoon. Every fifteen minutes they each generate a spectra of the water passing the probe to estimate nitrate concentrations. In this project you will analyse the spectra and traditional laboratory-based measurements of pollutants (86 pesticides, suspended sediment and nine forms of nitrogen and phosphorus) to determine if there are statistically significant relationships that can accurately predict pollutant concentrations. If they are sufficiently accurate, they will be used to predict the concentrations of pollutants in waterways without pollutant data. Successful relationships would be of immense interest to the Queensland Department of Environment and Science and would be extremely useful in efforts to improve the quality of water entering the GBR lagoon. It is expected that the results will be publishable. There is a $5 000 scholarship associated with this project.
Relevant Fields
Pollution Science, Water Quality, Predicting water quality, Water quality monitoring
Supervisors
Dr Ryan Turner (SEES), Assoc. Prof. Michael Warne (SEES), Dr Alan Huang (School of Mathematics and Physics)