Zobrazeno 1 - 10
of 177
pro vyhledávání: '"McGree, James M."'
Bayesian design can be used for efficient data collection over time when the process can be described by the solution to an ordinary differential equation (ODE). Typically, Bayesian designs in such settings are obtained by maximising the expected val
Externí odkaz:
http://arxiv.org/abs/2407.06497
Bayesian optimal design of experiments is a well-established approach to planning experiments. Briefly, a probability distribution, known as a statistical model, for the responses is assumed which is dependent on a vector of unknown parameters. A uti
Externí odkaz:
http://arxiv.org/abs/2310.17440
Autor:
Cure, Katherine, Barneche, Diego R, Depczynski, Martial, Fisher, Rebecca, Warne, David J, McGree, James M, Underwood, Jim, Weisenberger, Frank, Evans-Illidge, Elizabeth, Oades, Daniel, Howard, Azton, McCarthy, Phillip, Pyke, Damon, Edgar, Zac, Maher, Rodney, Sampi, Trevor, Owners, Bardi Jawi Traditional
First Nations Australians have a cultural obligation to look after land and sea Country, and Indigenous-partnered science is beginning to drive socially inclusive initiatives in conservation. The Australian Institute of Marine Science has partnered w
Externí odkaz:
http://arxiv.org/abs/2307.16357
Clinical trials are an integral component of medical research. Trials require careful design to, for example, maintain the safety of participants, use resources efficiently and allow clinically meaningful conclusions to be drawn. Adaptive clinical tr
Externí odkaz:
http://arxiv.org/abs/2303.00901
A meta-model of the input-output data of a computationally expensive simulation is often employed for prediction, optimization, or sensitivity analysis purposes. Fitting is enabled by a designed experiment, and for computationally expensive simulatio
Externí odkaz:
http://arxiv.org/abs/2212.09999
Autor:
Bon, Joshua J., Bretherton, Adam, Buchhorn, Katie, Cramb, Susanna, Drovandi, Christopher, Hassan, Conor, Jenner, Adrianne L., Mayfield, Helen J., McGree, James M., Mengersen, Kerrie, Price, Aiden, Salomone, Robert, Santos-Fernandez, Edgar, Vercelloni, Julie, Wang, Xiaoyu
Building on a strong foundation of philosophy, theory, methods and computation over the past three decades, Bayesian approaches are now an integral part of the toolkit for most statisticians and data scientists. Whether they are dedicated Bayesians o
Externí odkaz:
http://arxiv.org/abs/2211.10029
In today's modern era of Big data, computationally efficient and scalable methods are needed to support timely insights and informed decision making. One such method is sub-sampling, where a subset of the Big data is analysed and used as the basis fo
Externí odkaz:
http://arxiv.org/abs/2207.14440
Autor:
Buchhorn, Katie, Mengersen, Kerrie, Santos-Fernandez, Edgar, Peterson, Erin E., McGree, James M.
Optimal design facilitates intelligent data collection. In this paper, we introduce a fully Bayesian design approach for spatial processes with complex covariance structures, like those typically exhibited in natural ecosystems. Coordinate Exchange a
Externí odkaz:
http://arxiv.org/abs/2206.05369
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, McGree, James M., Isaak, Daniel J., Mengersen, Kerrie, Peterson, Erin E.
Spatio-temporal models are widely used in many research areas from ecology to epidemiology. However, most covariance functions describe spatial relationships based on Euclidean distance only. In this paper, we introduce the R package SSNbayes for fit
Externí odkaz:
http://arxiv.org/abs/2202.07166
Autor:
Overstall, Antony M., McGree, James M.
A mathematical model is a representation of a physical system depending on unknown parameters. Calibration refers to attributing values to these parameters, using observations of the physical system, acknowledging that the mathematical model is an in
Externí odkaz:
http://arxiv.org/abs/2103.01132