01:01 - Posterior probability intervals for wavelet thresholding.

Barber, S., Nason, G.P., and Silverman, B. W.

01:02 - Optimal asymmetric one-sided group sequential tests.

Barber, S., and Jennison, C.

01:03 - Functional data analysis.

Ramsay, J.O. and Silverman, B.W.

01:04 - Loss of tension in an infinite membrane with holes distributed by Poisson law.

Menshikov, M. V., Rybnikov, K., and Volkov, S. E.

01:05 - Continuous time vertex-reinforced jump processes.

Volkov, S. and Davis, B.

01:06 - Stabilization of dynamical systems by adding a colored noise.

Basak, G.K.

01:07 - Space augmented and double slice sampling.

Hurn, M. A. and Walker, S.G.

01:08 - Locally stationary two-dimensional wavelet processes and their application to texture analysis.

Eckley, I.A., Nason, G.P., and Treloar, R.L.

01:09 - The inner product matrix of discrete autocorrelation wavelets: efficient computation and application.

Eckley, I.A. and Nason, G.P.

(This report is a revised and updated version of report 00:12.)

01:10 - Poisson intensity estimation using wavelets and the Fisz transformation.

Fryzlewicz, P. and Nason, G.P.

01:11 - Early Day Motions: exploring backbench opinion during 1997-2000.

Nason, G.P.

01:12 - Wavelet density estimation software.

Herrick, D.R.M.

[Download tarfile.]

This report consists of software to implement Herrick's wavelet density estimation methods. See reports 00:13 and 01:13.

01:13 - Some new methods for wavelet density estimation.

Herrick, D.R.M, Nason, G.P., and Silverman, B.W.

(This is a revised and updated version of report 00:13.)

01:14 - Bayesian model discrimination for multiple strata capture-recapture data.

King, R. and Brooks, S.P.

01:15 - Optimality models in behavioural biology.

McNamara, J.M., Houston A.I., and Collins, E.J.

01:16 - Tables for Robust Projection Indices.

Nason, G.P.

01:17 - Pinktoe: putting S trees on the web.

Nason, G.P.

01:18 - OGSeT: Software for optimal group sequential clinical trials.

Barber, S.

[Download tarfile.]

This report consists of software to support Report 01:02.

01:19 - Bayesian variable selection and the Swendsen-Wang algorithm.

Nott, D.J., and Green, P.J.

01:20 - Hidden Markov models for disease mapping.

Green, P.J. and Richardson, S.

(This is a revised and updated version of report 00:14.)

01:21 - Bayesian growth curves using normal mixtures with nonparametric weights.

Scaccia, L. and Green, P.J.

01:22 - Advances in Bayesian image analysis.

Hurn, M.A., Husby, O. and Rue, H.

01:23 - Image analysis lecture notes for the TMR summer school.

Hurn, M.A., Husby, O. and Rue, H.

01:24 - Solution to the OK corral model via a decoupling of Friedman's urn.

Kingman, J.F.C and Volkov, S.

01:25 - Order selection of continuous time models: applications to estimation of risk premia.

Basak, G.K., Chan, N.H. and Lee, P.P.K.

01:26 - On the predictive nature of absolute changes.

Basak, G.K., Chung, L.C. and Lau, K.H.

01:27 - The shape of the intercondylar notch of the human femur: a comparison of osteoarthritic and non-osteoarthritic bones from a skeletal sample.

Shepstone, L., Rogers, J., Kirwan, J.R. and Silverman, B.W.

01:28 - Extremely large variations of atmospheric 14C concentration during the last glacial period.

Beck, J.W., Richards, D.A., Edwards, R.L., Silverman, B.W., Smart, P.L., Donahue, D.J., Hererra-Osterheld, S., Burr, G.S., Calsoyas, L., Jull, A.J.T and Biddulph, D.

01:29 - Simulating from the posterior density of Bayesian wavelet regression estimates.

Barber, S.

01:30 - MCMC computation for Bayesian model selection.

Andrieu, C., Djuric, P.M. and Doucet, A.

01:31 - Bayesian deconvolution of noisy filtered point processes.

Andrieu, C., Barat, E. and Doucet, A.

01:32 - Monte Carlo methods for Bayesian inference in neural networks models.

Andrieu, C., Doucet, A. and de Freitas, N.

01:33 - MCMC for machine learning.

Andrieu, C., Doucet, A., de Freitas, N. and Jordan, M.

01:34 - Particle filtering for demodulation in fading channels with non-Gaussian additive noise.

Punskaya, E., Andrieu, C., Doucet, A. and Fitzgerald, W.J.

01:35 - Bayesian blind and semi-blind equalization of channels with Markov inputs.

Andrieu, C., Doucet, A. and Urien, R.

01:36 - Robust full Bayesian learning for neural networks.

Andrieu, C., de Freitas, N. and Doucet, A.

01:37 - Bayesian curve fitting with applications to signal segmentation.

Punskaya, E., Andrieu, C., Doucet, A. and Fitzgerald, W.J.

01:38 - Iterative algorithms for state estimation of jump Markov linear systems.

Doucet, A. and Andrieu, C.

01:39 - Optimal estimation of amplitude and phase modulated signals.

Andrieu, C. and Doucet, A.

01:40 - Convergence of simulated annealing using Foster-Lyapunov criteria.

Andrieu, C., Breyer, L. and Doucet, A.

01:41 - Particle filtering for partially observed Gaussian state space models.

Andrieu, C. and Doucet, A.

01:42 - MCMC for machine learning.

Andrieu, C., Doucet, A., de Freitas, N. and Jordan, M.

01:43 - Bayesian computational approaches to model selection.

Andrieu, C., Doucet, A., Fitzgerald, W.J. and Perez, J.M.

01:44 - Bayesian blind and semi-blind equalization of channels with Markov inputs.

Doucet, A., Andrieu, C. and Urien, R.

01:45 - Sequential Monte Carlo methods for optimal filtering.

Andrieu, C., Doucet, A. and Punskaya, E.

01:46 - An introduction to Monte Carlo methods for Bayesian data analysis.

Andrieu, C., Doucet, A. and Fitzgerald, W.J.

01:47 - Sequential Monte Carlo methods for neural networks.

de Freitas, J.F.G, Andrieu, C. et al.

01:48 - Sequential Bayesian semi-parametric binary classification.

Andrieu, C., de Freitas, N. and Doucet, A.

01:49 - Controlled Markov chain Monte Carlo methods for optimal sampling.

Andrieu, C. and Robert, C.P.

01:50 - Bayesian model selection and parameter estimation of nuclear emission spectra using RJMCMC.

Gulam-Razul, S., Andrieu, C. and Fitzgerald, W.J.

01:51 - Penalized likelihood inference in extreme value analyses.

Pauli, F. and Coles, S.G.

01:52 - Extremal limit laws for a class of bivariate Poisson vectors.

Coles, S.G. and Pauli, F.

01:53 - Models and inference for uncertainty in extremal dependence.

Coles, S.G. and Pauli, F.

01:54 - Semiparametric models and inference for biomedical time series with extra-variation.

Iannaccone, R. and Coles, S.G.

01:55 - The largest inclusion in a block of steel.

Anderson, C.W. and Coles, S.G.

01:56 - Extremes of Markov chains with tail-switching potential.

Bortot, P. and Coles, S.G.

01:57 - Anticipating catastrophes through extreme value modelling.

Coles, S.G. and Pericchi, L.

01:58 - Convergence of the first-order non-constant dynamic linear model and forecast stability.

Triantafyllopoulos, K.