Items where Author is "Pettitt, Anthony"

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Number of items: 8.

Ridall, Gareth and Titman, Andrew and Pettitt, Anthony (2024) Bayesian state-space models for the modelling and prediction of the results of English Premier League football. Journal of the Royal Statistical Society: Series C (Applied Statistics). ISSN 0035-9254 (In Press)

Baumann, Fusun and Henderson, Rob and Ridall, Gareth and Pettitt, Anthony and McCombe, Pam (2012) Use of Bayesian MUNE to show differing rate of loss of motor units in subgroups of ALS. Clinical Neurophysiology, 123 (12). pp. 2446-2453. ISSN 1388-2457

Baumann, Fusun and Henderson, Robert and Ridall, Gareth and Pettitt, Anthony and McCombe, Pam (2012) Quantitative studies of lower motor neuron degeneration in amyotrophic lateral sclerosis : evidence for exponential decay of motor unit numbers and greatest rate of loss at the site of onset. Clinical Neurophysiology, 123 (10). 2092–2098. ISSN 1388-2457

Ngo, Shyuan and Henderson, Robert and Ridall, Gareth and Pettitt, Anthony and McCombe, Pam and Baumann, Fusun and Bellingham, Mark (2012) The relationship between Bayesian motor unit number estimation and histological measurements of motor neurons in wild-type and SOD1G93A mice. Clinical Neurophysiology, 123 (10). pp. 2080-2091. ISSN 1388-2457

Pettitt, Anthony and Forrester, M. and Gibson, G. (2007) Bayesian inference of hospital-acquired infections and control measures given imperfect surveillance data. Biostatistics, 8 (2). pp. 383-401. ISSN 1468-4357

Pettitt, Anthony and Berthelsen, K. and Moller, J. and Reeves, R. (2006) An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika, 93 (2). pp. 451-458. ISSN 1464-3510

Pettitt, Anthony and Reeves, R. (2004) Efficient recursions for general factorisable models. Biometrika, 91 (3). pp. 751-757. ISSN 1464-3510

Pettitt, Anthony and Friel, N. and Reeves, R. (2003) Efficient calculation of the normalizing constant of the autologistic and related models on the cylinder and lattice. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65 (1). pp. 235-246. ISSN 1369-7412

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