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pro vyhledávání: '"Neal, Peter"'
A network epidemic model is studied. The underlying social network has two different types of group structures, households and workplaces, such that each individual belongs to exactly one household and one workplace. The random network is constructed
Externí odkaz:
http://arxiv.org/abs/2410.06696
Performing model selection for coupled hidden Markov models (CHMMs) is highly challenging, owing to the large dimension of the hidden state process. Whilst in principle the hidden state process can be marginalized out via forward filtering, in practi
Externí odkaz:
http://arxiv.org/abs/2105.11807
Autor:
Welding, Jessica, Neal, Peter
Infectious diseases have severe health and economic consequences for society. It is important in controlling the spread of an emerging infectious disease to be able to both estimate the parameters of the underlying model and identify those individual
Externí odkaz:
http://arxiv.org/abs/1909.11560
Autor:
Neal, Peter, Theparod, Thitiya
In this paper, we provide a straightforward approach to defining and deriving the key epidemiological quantity, the basic reproduction number, $R_0$, for Markovian epidemics in structured populations. The methodology derived is applicable to, and dem
Externí odkaz:
http://arxiv.org/abs/1903.10353
Akademický článek
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Autor:
Touloupou, Panayiota, Alzahrani, Naif, Neal, Peter, Spencer, Simon E. F., McKinley, Trevelyan J.
Selecting between competing statistical models is a challenging problem especially when the competing models are non-nested. In this paper we offer a simple solution by devising an algorithm which combines MCMC and importance sampling to obtain compu
Externí odkaz:
http://arxiv.org/abs/1512.04743
Autor:
Ali Khan, Muhammad Haider, Daiyan, Rahman, Neal, Peter, Haque, Nawshad, MacGill, Iain, Amal, Rose
Publikováno v:
In International Journal of Hydrogen Energy 28 June 2021 46(44):22685-22706
Autor:
Neal, Peter, Lee, Clement
The independence sampler is one of the most commonly used MCMC algorithms usually as a component of a Metropolis-within-Gibbs algorithm. The common focus for the independence sampler is on the choice of proposal distribution to obtain an as high as p
Externí odkaz:
http://arxiv.org/abs/1511.04334
Securing water in the right quantities at the right quality for the right price is a major issue around the world. Membranes are making an increasingly important contribution to meeting this need; however their performance is limited by fouling. This
Externí odkaz:
http://handle.unsw.edu.au/1959.4/30584