Found 1470 results
Kennedy, DW., White N., Mengersen KL., & Lea R. (Submitted).  Cell-type specific analysis of heterogeneous methylation signal using a Bayesian model-based approach.
In Press
Chong, H. Phern, J. Frøen F., Richardson S., Liquet B.., D. Charnock-Jones S., & Smith G. C. S. (In Press).  Age at menarche and the risk of operative delivery. The Journal of Maternal-Fetal & Neonatal Medicine. 1 - 8.
South, L. F., Drovandi C. C., Lee A.., & Nott D.. J. (In Press).  Bayesian Synthetic Likelihood. Journal of Computational and Graphical Statistics. 1 - 11.
Feng, L.B., Zhuang P., Liu F., Turner I., & Li J. (In Press).  High-order numerical methods for the Riesz space fractional advection–dispersion equations. Computers & Mathematics with Applications.
Wu, P., McMahon K., Rasheed M. A., Kendrick G. A., York P. H., Chartrand K., et al. (In Press).  Managing seagrass resilience under cumulative dredging affecting light: Predicting risk using dynamic Bayesian networks. Journal of Applied Ecology.
Olson, R.., An S.-I.., Fan Y.., Evans J.. P., & Caesar L.. (In Press).  North Atlantic observations sharpen meridional overturning projections. Climate Dynamics.
Abdullah, FA., Liu F., Burrage P., Burrage K., & Li T. (In Press).  Novel analytical and numerical techniques for fractional temporal SEIR measles model. Numerical Algorithms. 1–22.
Zhu, W., & Fan Y. (In Press).  A novel approach for Markov random field with intractable normalizing constant on large lattices. Journal of Computational and Graphical Statistics. 1-1.
Cope, R. C., Ross J. V., Wittmann T. A., Watts M. J., & Cassey P. (In Press).  Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness. Risk Analysis.
Turschwell, M. P., Stewart-Koster B., Leigh C., Peterson E., Sheldon F., & Balcombe S.R.. (In Press).  Riparian restoration offsets predicted population consequences of climate warming in a threatened headwater fish. Aquatic Conservation.
Quiroz, M., Tran M-N., Villani M., & Kohn R. (In Press).  Speeding up MCMC by delayed acceptance and data subsampling. Journal of Computational and Graphical Statistics.
Quiroz, M., Tran M-N., Villani M., & Kohn R. (In Press).  Speeding up MCMC by delayed acceptance and data subsampling. Journal of Computational and Graphical Statistics.
Quiroz, M., Kohn R., Villani M., & Tran M-N. (In Press).  Speeding up MCMC by efficient data subsampling. Journal of American Statistical Association.
Duan, Q., & Kroese D. (In Press).  Splitting for Multi-objective Optimization. Methodology and Computing in Applied Probability.
Shah, R., & Kroese D. (In Press).  Without-replacement sampling for particle methods on finite state spaces. Statistics and Computing.
Creutzig, T., Kanade S., Liu T., & Ridout D. (2019).  Cosets, characters and fusion for admissible-level. Nuclear Physics B. 938, 22 - 55.
Feng, L., Liu F., & Turner I. (2019).  Finite difference/finite element method for a novel 2D multi-term time-fractional mixed sub-diffusion and diffusion-wave equation on convex domains. Communications in Nonlinear Science and Numerical Simulation. 70, 354 - 371.
Parsons, S.., Fuller S.., Peterson E.E.., & Doohan B.. (2019).  The sound of management: Acoustic monitoring for agricultural industries. Ecological Indicators. 96, 739 - 746.
Qin, S., Liu F., & Turner I. (2018).  A 2D multi-term time and space fractional Bloch-Torrey model based on bilinear rectangular finite elements. Communications in Nonlinear Science and Numerical Simulation. 56, 270 - 286.
[Anonymous] (2018).  The The 2nd International Conference on Econometrics and Statistics (EcoSta 2018) .
Fan, Y.., Meikle S.. R., Angelis G.., & Sitek A.. (2018).  ABC in nuclear imaging. Handbook of Approximate Bayesian Computation.
An, Z., South L. F., Nott D. J., & Drovandi C. C. (2018).  Accelerating Bayesian Synthetic Likelihood with the Graphical Lasso. Journal of Computational and Graphical Statistics. 1 - 14.
Drovandi, C. C., Moores M. T., & Boys R. J. (2018).  Accelerating pseudo-marginal MCMC using Gaussian processes. Computational Statistics & Data Analysis. 118, 1 - 17.
Snadden, J., Ridout D., & Wood S. (2018).  An admissible level $$\widehat{\mathfrak {osp}} \left( 1 \big \vert 2 \right) $$osp^1|2-model: modular transformations and the Verlinde formula. Letters in Mathematical Physics. 108(11), 2363 - 2423.
Smith, N. R., Trauer J. M., Gambhir M., Richards J. S., Maude R. J., Keith J. M., et al. (2018).  Agent-based models of malaria transmission: a systematic review. Malaria Journal. 17(1), 
Burrage, K., Burrage P., Turner I., & Zeng F. (2018).  On the Analysis of Mixed-Index Time Fractional Differential Equation Systems. Axioms. 7(2), 25.
Moka, S.. B., Juneja S.., & Mandjes M.. R. H. (2018).  Analysis of Perfect Sampling Methods for Hard-sphere Models. ACM SIGMETRICS Performance Evaluation Review. 45(2), 69 - 75.
Lang, J. C., De Sterck H., Kaiser J. L., & Miller J. C. (2018).  Analytic models for SIR disease spread on random spatial networks. Journal of Complex Networks.
[Anonymous] (2018).  Anomaly Detection in Non-Stationary Streaming Temporal Data. 38th International Symposium on Forecasting, Boulder, Colorado, USA.
Whyte, J. M. (2018).  Anticipating limitations of biological models can help us avoid the frustration of unanswerable questions. ACEMS ECR retreat.
Overstall, A. M., McGree J., & Drovandi C. C. (2018).  An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing.
Peralta, O., Rojas-Nandayapa L., Xie W., & Yao H. (2018).  Approximation of ruin probabilities via Erlangized scale mixtures. Insurance: Mathematics and Economics.
Morichon, D., de Santiago I., Delpey M., Somdecoste T., Callens A., Liquet B.., et al. (2018).  Assessment of Flooding Hazards at An Engineered Beach during Extreme Events: Biarritz, SW France. Journal of Coastal Research. 85, 801 - 805.
Frazier, D. T., Martin G. M., Robert C. P., & Rousseau J. (2018).  Asymptotic properties of approximate Bayesian computation. Biometrika. 105(3), 593 - 607.
de Gier, J. (2018).  AustMS Early Career Workshop.
[Anonymous] (2018).  Bayesian adaptive design methods for improving the effectiveness of monitoring coral reef communities. Conference on Experimental Design and Analysis.
Gunawan, D., Griffiths W. E., & Chotikapanich D. (2018).  Bayesian inference for health inequality and welfare using qualitative data. Economics Letters. 162, 76 - 80.
Tan, B. Kheng, Panagiotelis A., & Athanasopoulos G. (2018).  Bayesian Inference for the One-Factor Copula Model. Journal of Computational and Graphical Statistics. 1 - 19.
Aswi, A.., Cramb S.. M., Moraga P.., & Mengersen K.. (2018).  Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review - delete duplicate please. Epidemiology and Infection. 1 - 14.
[Anonymous] (2018).  Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review. Epidemiology & Infection.
Zhang, L., Finn C., Garoni T. M., & de Gier J. (2018).  Behaviour of traffic on a link with traffic light boundaries. Physica A: Statistical Mechanics and its Applications. 503, 116 - 138.
Abbasi-Yadkori, Y., Bartlett P.L., Gabillon V., Malek A., & Valko M. (2018).  Best of both worlds: Stochastic & adversarial best-arm identification. COLT, Conference on Learning Theory.
Fan, X., Li B., & Sisson S. (2018).  The Binary Space Partitioning-Tree Process. The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018).
Whyte, J. M. (2018).  Biological modelling, and rarely asked questions of the 21st centure. Australian Bioinformatics and Computational Biology Society 2018 Conference (ABACBS 2018).
Quiroz, M., Tran M-N., Villani M., Kohn R., & Dang K-D. (2018).  The block-Poisson estimator for optimally exact subsampling MCMC. Presented at the International Society of Bayesian Analysis.
Ajani, P. A., Larsson M. E., Woodcock S., Rubio A., Farrell H., Brett S., et al. (2018).  Bloom drivers of the potentially harmful dinoflagellate Prorocentrum minimum (Pavillard) Schiller in a south eastern temperate Australian estuary. Estuarine, Coastal and Shelf Science. 215, 161 - 171.
Turner, I., Xie H.,.Pearcy M., .Grote R., &.Colditz P. (2018).  Can Three-Dimensional Mioton Analysis and Fuzzy entropy detect movement differences in General Movement Assessment Categories in the normative infant population?. World Congress of Biomechanics.
Bedini, A.., Zhang L., & Garoni T. M. (2018).  A Case Study of a Continuous Flow Intersection and Its Impact on Public Transport. IEEE ITSC.
Copeland, E., Leonard K., Carney R., Kong J., Forer M., Naidoo Y., et al. (2018).  Chronic Rhinosinusitis: Potential Role of Microbial Dysbiosis and Recommendations for Sampling SitesDataSheet1.DOCXDataSheet2.docxImage1.TIFFImage2.TIFFImage3.TIFFImage4.TIFFImage5.TIFF. Frontiers in Cellular and Infection Microbiology. 8,
[Anonymous] (2018).  A classification framework for forecast-model selection. Joint Statistical Meetings(JSM) 2018, Vancouver, BC, Canada.
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