Publications
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(2019). Optimisation of coral reef monitoring using Bayesian adaptive design methods.
Bayes on the Beach 2019.
(2019). Optimised prophylactic vaccination in metapopulations.
bioRxiv. 559732.
(2019). Optimization Methods for Inverse Problems.
(Wood, D., Ed.).2017 MATRIX Annals.
(2019). Optimizing functional groups in ecosystem models: Case study of the Great Barrier Reef.
Ecological Modelling. 411, 108806.
(2019). Optimizing limited-stop services with vehicle assignment.
Transportation Research Part E: Logistics and Transportation Review. 129, 228 - 246.
(2019). Optimizing MGRIT and Parareal coarse-grid operators for linear advection.
arXiv. arXiv:1910.03726v1.
(2019). Orthogonal and symplectic Harish-Chandra integrals and matrix product ensembles.
Random Matrices: Theory and Applications. 8(4), 1950015.
(2019). Orthonormal Polynomial Expansions and Lognormal Sum Densities.
(Barrieu, P., Ed.).Risk and Stochastics. 127-150.
(2019). Output maximization container loading problem with time availability constraints.
Operations Research Perspectives. 6, 100126.
(2019). Parallel K-Tree: A multicore, multinode solution to extreme clustering.
Future Generation Computer Systems. 99, 333 - 345.
(2019). Parametric Study on Nanopattern Bactericidal Activity.
Procedia Manufacturing. 30, 514 - 521.
(2019). Parcel Lockers for B2B Distribution in Central Business Districts .
6th Physical Internet Conference.
(2019). Parisian types of ruin probabilities for a class of dependent risk-reserve processes.
Scandinavian Actuarial Journal. 2019(1), 32 - 61.
(2019). Particle Methods for Stochastic Differential Equation Mixed Effects Models.
Bayes on the Beach 2019.
(2019). Party Tricks with Numerical Linear Algebra and the Quest for Trust.
Data Science Down Under 2019.
(2019). The past, present and future of Monte Carlo Methods.
The 12th International Conference on Monte Carlo Methods and Applications.
(2019). A pathwise approach to the extinction of branching processes with countably many types.
Stochastic Processes and their Applications. 129(3), 713-739.
(2019). Peeking inside FFORMS: Feature-based FORecast Model Selection.
The 39th International Symposium on Forecasting.
(2019). Perceptual Quality Assessment of Pan-Sharpened Images.
Remote sensing. 11(7), 877.
(2019). Perfect Sampling for Gibbs Point Processes Using Partial Rejection Sampling.
arXiv. arXiv:1901.05624v1.
(2019). Perlin noise and microfibrosis.
17th International Conference of Numerical Analysis and Applied Mathematics.
(2019). Perlin noise for automatic generation of complex spatial patterns: an application to cardiac fibrosis.
ANZIAM Conference 2019.
(2019). Personalised treatments for acute whiplash injuries: A pilot study of nested N-of-1 trials in a multiple baseline single-case experimental design.
Contemporary Clinical Trials Communications. 16, 100480.
(2019). The Phase Diagram for a Multispecies Left-Permeable Asymmetric Exclusion Process.
Journal of Statistical Physics. 174(3), 605-621.
(2019). Phase transitions for edge-reinforced random walks on the half-line.
Electronic Communications in Probability. 24, 39.
(2019). Phase-Type Models in Life Insurance:Fitting and Valuation of Equity-Linked Benefits.
Risks. 7(1), 17.
(2019). Physical-Layer Security in Full-Duplex Multi-Hop Multi-User Wireless Network With Relay Selection.
IEEE Transactions on Wireless Communications. 18(2), 8606459, 1216 - 1232.
(2019). Pleiotropic mapping for genome-wide association studies using group variable selection.
EPICLIN 2019 / 26ème Journées des Statisticiens des CLCC.
(2019). PLS for Big Data: A unified parallel algorithm for regularised group PLS.
Statistics Surveys. 13, 119-149.
(2019). PLS for Big Data: A Unified Parallel Algorithm for Regularized Group PLS.
useR! 2019.
(2019). Plyranges: A grammar of genomic data transformation.
Genome Biology. 20(1), 4.
(2019). Podlab at SemEval-2019 Task 3: The Importance of Being Shallow.
13th International Workshop on Semantic Evaluation. 292 - 296.
(2019). Polling Bias from Undecided Voters in Recent US Presidential Elections.
(2019). Pólya urns with immigration at random times.
Bernoulli. 25(1), 189 - 220.
(2019). Polyp fiction: a stochastic fluid flow model for coral-algal symbiosis on the Great Barrier Reef.
The 20th INFORMS Applied Probability Society Conference.
(2019). Polyp fiction: A stochastic fluid model for the Adaptive Bleaching Hypothesis.
The 10th International Conference on Matrix-Analytic Methods in Stochastic Models. 65.
(2019). POMDPs for sustainable fishery management.
MODSIM.
(2019). Population data provide evidence against the presence of a set point for hemoglobin levels or tissue oxygen delivery.
Physiological Reports. 7(12), e14153.
(2019). A population of bang-bang switches of defective interfering particles makes within-host dynamics of dengue virus controllable.
(Papin, J. A., Ed.).PLOS Computational Biology. 15(11), e1006668.
(2019). Population of models and hetereogeneity.
Recent Developments in Mathematical and Computational Biomedicine.
(2019). A posteriori stochastic correction of reduced models in delayed-acceptance MCMC, with application to multiphase subsurface inverse problems.
International Journal for Numerical Methods in Engineering. 118(10), 578 - 605.
(2019). Practical Aspects of False Alarm Control for Change Point Detection: Beyond Average Run Length.
Methodology and Computing in Applied Probability. 21(1), 25-42.
(2019). Practically surreal: Surreal arithmetic in Julia.
SoftwareX. 9, 293 - 298.
(2019). Predicting fatigue using countermovement jump force-time signatures: PCA can distinguish neuromuscular versus metabolic fatigue.
PLoS ONE. 14(7), e0219295.
(2019). Predicting sediment and nutrient concentrations from high-frequency water-quality data.
PLOS ONE. 14(8), e0215503.
(2019). Predicting the need for hydrogel spacers in prostate radiotherapy - a statistical modelling approach.
Australian Society of Medical Imaging and Radiation Therapy National Conference.
(2019). Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness.
Risk Analysis. 39(1), 35-53.
(2019). Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study.
(Nguyen, H., Ed.).Communications in Computer and Information Science . 1, 162 - 182.
(2019). Predictors of severe gastrointestinal toxicity risk in patients treated with 5-fluorouracil-based chemotherapy: A validation study.
COSA's 46th Annual Scientific Meeting, Urological cancer; Age and gender in cancer practice; Digital health in cancer. 15, 167–167.
(2019). Preface — Computational Modeling for Cardiovascular Disease and Biological Applications.
International Journal of Computational Methods. 16(03), 1802002.