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2021
Kandanaarachchi, S., Anantharama N., & Munoz M. Andres (2021).  Early detection of vegetation ignition due to powerline faults. IEEE Transactions on Power Delivery. 36(3), 1324 - 1334.
Forbes, J., Cook D., Ebert A., Hofmann H., Hyndman R. J., Lumley T., et al. (2021).  eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia (Version 1.4.1).
Aswi, A., Sukarna, Cramb S., & Mengersen K. (2021).  Effects of Climatic Factors on Dengue Incidence: A Comparison of Bayesian Spatio-Temporal Models. Journal of Physics: Conference Series. 1863(1), 012050.
Velic, A., Jaggessar A., Tesfamichael T., Li Z., & Yarlagadda P. K. D. V. (2021).  Effects of Nanopillar Size and Spacing on Mechanical Perturbation and Bactericidal Killing Efficiency. Nanomaterials. 11(10), 2472.
Jacobson, J. L., Akkaya‐Hocagil T., Ryan L. M., Dodge N. C., Richardson G. A., Olson H. Carmichael, et al. (2021).  Effects of prenatal alcohol exposure on cognitive and behavioral development: Findings from a hierarchical meta‐analysis of data from six prospective longitudinal U.S. cohorts. Alcoholism: Clinical and Experimental Research. 45(10), 2040 - 2058.
Miller, M. E., Motti C. A., Menéndez P., & Kroon F. J. (2021).  Efficacy of Microplastic Separation Techniques on Seawater Samples: Testing Accuracy Using High-Density Polyethylene. The Biological Bulletin. 240(1), 52 - 66.
Li, D., Clements A., & Drovandi C. (2021).  Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo. Econometrics and Statistics. 19, 22-46.
Roughan, M., Herath S., & Glonek G. (2021).  Em-K Indexing for Approximate Query Matching in Large-scale ER. arXiv. arXiv:2111.04070v1.
Khatun, A., Denman S., Sridharan S., & Fookes C. (2021).  End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification. IEEE Transactions on Information Forensics and Security. 16, 3803 - 3813.
Fisher, N. I., Lunn P. D., & Sasse S. M. (2021).  Enhancing Value by Continuously Improving Enterprise Culture. Journal of Creating Value. 7(2), 232 - 254.
Nikles, J., Onghena P., Vlaeyen J. W. S., Wicksell R. K., Simons L. E., McGree J. M., et al. (2021).  Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs. Contemporary Clinical Trials Communications. 23, 100826.
Delaigle, A., Hall P., Huang W., & Kneip A. (2021).  Estimating the Covariance of Fragmented and Other Related Types of Functional Data. Journal of the American Statistical Association. 535(116), 1383-1401.
Huang, W., Delaigle A., Hall P., & Kneip A. (2021).  Estimating the covariance of fragmented and other related types of functional data. 4th International Conference on Econometrics and Statistics (EcoSta 2021).
Beranger, B., Padoan S. A., & Sisson S. (2021).  Estimation and uncertainty quantification for extreme quantile regions. Extremes. 24, 349-375.
Koo, B., La Vecchia D., & Linton O. B. (2021).  Estimation of a Nonparametric model for Bond Prices from Cross-section and Time series Information. Journal of Econometrics. 220(2), 562-588.
Kandanaarachchi, S. (2021).  Evaluating algorithms using Item Response Theory. RMIT Bundoora Early-Mid Career Researchers (EMCR) Symposium.
Benitez, J., Fontanarosa D., Wang J., Paritala P. Kumari, McGahan T., Lloyd T., et al. (2021).  Evaluating the Impact of Calcification on Plaque Vulnerability from the Aspect of Mechanical Interaction Between Blood Flow and Artery Based on MRI. Annals of Biomedical Engineering. 49, 1169-1182.
Barbour, A.. D., & Lo T. Y. Y. (2021).  The expected degree distributions in transient duplication divergence models. arXiv. arXiv:2105.14227v1.
Weber, D., Nasim M., Mitchell L., & Falzon L. (2021).  Exploring the effect of streamed social media data variations on social network analysis. Social Network Analysis and Mining . 11(1), 62.
Forbes, O. (2021).  Extending Bayesian model averaging methodology for application across multiple unsupervised clustering methods. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Guttmann, T. (2021).  Extracting asymptotics from series coefficients. Lattice Paths, Combinatorics and Interactions .
Guttmann, A. J. (2021).  Extracting asymptotics from series coefficients. Lattice Paths, Combinatorics and Interactions.
O'Hara-Wild, M., Hyndman R. J., Wang E., Caceres G., Hensel T-G., & Hyndman T. (2021).  fable: Forecasting Models for Tidy Time Series (Version 0.3.1).
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., Athanasopoulos G., & Holt D. (2021).  fabletools: Core Tools for Packages in the 'fable' Framework (Version 0.3.1).
Zhang, Y., Cramb S., McPhail S. M., Pacella R., van Netten J. J., Cheng Q., et al. (2021).  Factors Associated With Healing of Diabetes-Related Foot Ulcers: Observations From a Large Prospective Real-World Cohort. Diabetes Care. 44(7), e143 - e145.
Cramb, S., Zhang Y., McPhail S., Pacella R., & Lazzarini P. (2021).  The factors predicting shorter time to being ulcer-free in a large Australian multi-site cohort with diabetes-related foot ulcers. Diabetes Feet Australia Conference.
O'Hara-Wild, M., Hyndman R. J., & Kinsman A. (2021).  fasster: Fast Additive Switching of Seasonality, Trend and Exogenous Regressors.
March, N. G., Carr E. J., & Turner I. (2021).  A fast algorithm for semi-analytically solving the homogenization boundary value problem for block locally-isotropic heterogeneous media. Applied Mathematical Modelling. 92, 23-43.
Hughes, D. M., Garcia-Finana M., & Wand M. P. (2021).  Fast approximate inference or multivariate longitudinal data. Biostatistics. 22,
McVinish, R.., & Hodgkinson L.. (2021).  Fast approximate simulation of finite long-range spin systems. Annals of Applied Probability. 31(3), 1443 - 1473.
Hyndman, R. J. (2021).  Feasts & fables: modern tools for time series analysis. Why R? 2021 Conference.
O'Hara-Wild, M., Hyndman R. J., Wang E., Cook D., Talagala T., & Chhay L. (2021).  feasts: Feature Extraction and Statistics for Time Series (Version 0.2.2).
Talagala, T. (2021).  Feature-based Time Series Forecasting. Why R? 2021.
Talagala, T. S. (2021).  Feature-based Time Series Forecasting. Why R? 2021 Conference.
Hutchins, K. P., Borg D. N., Bach A. J. E., Bon J. J., Minett G. M., & Stewart I. B. (2021).  Female (Under) Representation in Exercise Thermoregulation Research. Sports Medicine - Open. 7, 43.
H. Zhang, S., Cook D., Laa U., Langrené N., & Menendez P. (2021).  ferrn: Facilitate Exploration of touRR optimisatioN.
Zhang, M., Liu F., Turner I. W., Anh V. V., & Feng L. (2021).  A finite volume method for the two-dimensional time and space variable-order fractional Bloch-Torrey equation with variable coefficients on irregular domains. Computers & Mathematics with Applications. 98, 81 - 98.
Mora, J. Arturo Mol, Montero-Manso P., García-Batán R., Campos-Sánchez R., Vilar-Fernández J., & García F. (2021).  A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach. Biosystems. 205, 104411.
Dang, K-D., & Maestrini L. (2021).  Fitting Structural Equation Models via Variational Approximations. 2021 Symposium on Data Science & Statistics.
Reynolds, E., Aden-Buie G., & Tanaka E. (2021).  flipbookr: Parses Code, Creates Partial Code Builds, Delivers Code Movie.
Hautphenne, S., & Li M. (2021).  A fluid approach to total-progeny-dependent birth-and-death pro- cesses. arXiv. arXiv:2112.01117v1.
Loaiza-Maya, R., Martin G. M., & Frazier D. T. (2021).  Focused Bayesian prediction. Journal of Applied Econometrics. 36(5), 517-543.
Hyndman, R. J., Athanasopoulos G., Bergmeir C., Carceres G., Chhay L., O'Hara-Wild M., et al. (2021).  forecast: Forecasting Functions for Time Series and Linear Models (Version 8.15).
Panagiotelis, A., Athanasopoulos G., Gamakumara P., & Hyndman R. J. (2021).  Forecast reconciliation: A geometric view with new insights on bias correction. International Journal of Forecasting. 37(1), 343 - 359.
Talagala, T. (2021).  Forecasting Model Territories. 41st International Symposium on Forecasting.
Hyndman, R. J., & Athanasopoulos G. (2021).  Forecasting: Principles and Practice.
Eckert, F., Hyndman R. J., & Panagiotelis A. (2021).  Forecasting Swiss Exports using Bayesian Forecast Reconciliation. European Journal of Operational Research. 291(2), 693-710.
Hyndman, R. J., Zeng Y., & Shang H. Lin (2021).  Forecasting the old‐age dependency ratio to determine a sustainable pension age. Australian & New Zealand Journal of Statistics. 63(2), 241-256.
Liebig, J., de Hoog F., Paini D., & Jurdak R. (2021).  Forecasting the probability of local dengue outbreaks in Queensland, Australia. Epidemics. 34, 100422.
Cook, D., Reid N., & Tanaka E. (2021).  The Foundation is Available for Thinking about Data Visualization Inferentially. Harvard Data Science Review. Summer 2021(3.3), 

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