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Number of items: 15.

Article

Vannucci, Marina and Sha, Naijun and Brown, Philip J. (2005) NIR and Mass spectra classification: Bayesian methods for wavelet-based feature selection. Chemometrics and Intelligent Laboratory Systems, 77 (1-2). pp. 139-148. ISSN 0169-7439. (doi:https://doi.org/10.1016/j.chemolab.2004.10.009) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Sha, Naijun and Vannucci, Marina and Tadesse, Mahlet G. and Brown, Philip J. and Dragoni, Ilaria and Davies, Nick and Roberts, Tracy C. and Contestabile, Adrea and Salmon, Mike and Buckley, Chris and Falcaiani, Francesco (2004) Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage. Biometrics, 60 (3). pp. 812-819. ISSN 0006-341X. (doi:https://doi.org/10.1111/j.0006-341X.2004.00233.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Morris, Jeffrey S. and Vannucci, Marina and Brown, Philip J. and Carroll, Raymond J. (2003) Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis. Journal of the American Statistical Association, 98 (463). pp. 573-583. ISSN 0162-1459. (doi:https://doi.org/10.1198/016214503000000422) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Sha, Naijun and Vannucci, Marina and Brown, Philip J. and Trower, Michael K. and Amphlett, Gillian and Falciani, Francesco (2003) Gene selection in arthritis classification with large-scale microarray expression profiles. Comparative and Functional Genomics, 4 (2). pp. 171-181. ISSN 1531-6912. (doi:https://doi.org/10.1002/cfg.264) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Vannucci, Marina and Brown, Philip J. and Fearn, T. (2003) A decision theoretic approach to wavelet regression on curves with a high number of regressors. Statistical Planning and Inference, 112 (1-2). pp. 195-212. (doi:https://doi.org/10.1016/S0378-3758(02)00333-6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Brown, Philip J. and Vannucci, Marina and Fearn, T. (2002) Bayes model averaging with selection of regressors. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64 (Part 3). pp. 519-536. ISSN 1369-7412. (doi:https://doi.org/10.1111/1467-9868.00348) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Brown, Philip J. and Fearn, T. and Vannucci, Marina (2001) Bayesian wavelet regression on curves with application to a spectroscopic calibration problem. Journal of the American Statistical Association, 96 (454). pp. 398-408. ISSN 0162-1459. (doi:https://doi.org/10.1198/016214501753168118) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Brown, Philip J. and Fearn, T. and Vannucci, Marina (1999) The choice of variables in multivariate regression: A non-conjugate Bayesian decision theory approach. Biometrika, 86 (3). pp. 635-648. ISSN 0006-3444. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Brown, Philip J. and Vannucci, Marina and Fearn, T. (1998) Bayesian wavelength selection in multicomponent analysis. Journal of Chemometrics, 12 (3). pp. 173-82. ISSN 0886-9383. (doi:https://doi.org/10.1002/(SICI)1099-128X(199805/06)12:3<173::AID-CEM505>3.0.CO;2-0) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Brown, Philip J. and Vannucci, Marina and Fearn, T. (1998) Multivariate Bayesian variable selection and prediction. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 . pp. 627-41. ISSN 1369-7412. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Book section

Morris, Jeffrey S. and Brown, Philip J. and Baggerly, Keith A. and Coombes, Kevin R. (2006) Analysing Mass Spectrometry data using wavelet-based functional mixed models. In: Do, K. and Muller, P. and Vannucci, Marina, eds. Bayesian Inference for gene expression and proteomics. Cambridge University Press, pp. 269-292. ISBN 978-0-521-86092-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Conference or workshop item

Vannucci, Marina and Brown, Philip J. and Fearn, T. (2001) Predictor Selection for Model Averaging. In: The Sixth World Meeting of the International Society for Bayesian Analysis, May 28 - June 1, 2000, Hersonissos, Heraklion, Crete. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Vannucci, Marina and Corradi, F. (1996) Model shrinking of wavelet coefficients and applications. In: American Statisitcal Association - 1996 Proceedings Of The Section On Bayesian Statistical Science. American Statistical Associaiton pp. 117-122. ISBN 1-883276-36-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Vannucci, Marina and Moro, A. and Spanos, P.D (1996) Wavelets in random processes representation. In: Frangopol, D.M. and Grigoriu, D.M. and Struct, Div, eds. Proceedings of the 7th Specialty Conference. Amer Soc Civil Engineers pp. 672-675. ISBN 0-7844-0184-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Other

Brown, Philip J. and Vannucci, Marina and Fearn, T. (1997) Multivariate Bayesian variable selection and prediction. Interface Foundation North America. (doi:https://doi.org/10.1111/1467-9868.00144) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

This list was generated on Thu May 23 23:13:10 2019 BST.