RESOURCES

• R package "NeEDS4BigData" for subsampling big data <link>

• Bayesian design for sampling anomalous spatio-temporal data <link>

• Bayesian design with sampling windows <link>

• R package "SSNdesign" for pseudo-Bayesian optimal and adaptive sampling designs on stream networks <link>

• R package "SSNbayes" for Bayesian spatio-temporal modelling on stream networks <link>

• Sequential Monte Carlo for Bayesian sequential design for Copula models <link>

• Laplace-based sequential Monte Carlo algorithm for Bayesian adaptive design <link>

• Bayesian design for minimising uncertainty in model-based predictions in spatial processes <link>

• Evaluating the total entropy utility function within a sequential Monte Carlo design framework <link>

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PRESENTATIONS

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• 3/9/2024: Australasian Applied Statistics Conference <slides>

• 2/2/2023: Talk for AusTRIM <slides>

• 13/12/2018:  Invited talk at CEDA2018, Hsinchu, Taiwan <slides> (presented by PhD student Pubudu Thilan)

• 10/09/2018:  Invited seminar at Università Cattolica del Sacro Cuore, Milan, Italy <slides>

• 28/07/2018:  Invited talk at JSM2018, Vancouver, Canada <slides>

• 16/04/2018:  Invited talk at SIAM UQ18, Los Angeles, USA <slides>

• 29/06/2017:  Invited seminar at University of Southampton, Southampton, UK <video>

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