Zobrazeno 1 - 10
of 353
pro vyhledávání: '"A. Overstall"'
This paper describes the R package fdesigns that implements a methodology for identifying Bayesian optimal experimental designs for models whose factor settings are functions, known as profile factors. This type of experiments which involve factors t
Externí odkaz:
http://arxiv.org/abs/2411.09225
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
Meta-analysis is a well-established method for integrating results from several independent studies to estimate a common quantity of interest. However, meta-analysis is prone to selection bias, notably when particular studies are systematically exclu
Externí odkaz:
http://arxiv.org/abs/2305.01277
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
The aim of this work is to extend the usual optimal experimental design paradigm to experiments where the settings of one or more factors are functions. Such factors are known as profile factors, or as dynamic factors. For these new experiments, a de
Externí odkaz:
http://arxiv.org/abs/2110.09115
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
Autor:
Overstall, Antony M.
The Bayesian decision-theoretic approach to design of experiments involves specifying a design (values of all controllable variables) to maximise the expected utility function (expectation with respect to the distribution of responses and parameters)
Externí odkaz:
http://arxiv.org/abs/2003.07315
This article proposes a novel adaptive design algorithm that can be used to find optimal treatment allocations in N-of-1 clinical trials. This new methodology uses two Laplace approximations to provide a computationally efficient estimate of populati
Externí odkaz:
http://arxiv.org/abs/1911.00878
Autor:
Overstall, Antony M., McGree, James M.
Traditionally Bayesian decision-theoretic design of experiments proceeds by choosing a design to minimise expectation of a given loss function over the space of all designs. The loss function encapsulates the aim of the experiment, and the expectatio
Externí odkaz:
http://arxiv.org/abs/1909.12570