02:01 - The ideal free distribution: an analysis of the perceptual limit model.

Collins, E.J., Houston, A.I. and Lang, A.

02:02 - Convergent multiple-timescales reinforcement learning algorithms in normal form games.

Leslie, D.S. and Collins, E.J.

02:03 - Efficient particle filtering for jump Markov systems.

Andrieu, C., Davy, M. and Doucet, A.

02:04 - Forecasting non-stationary time series by wavelet process modelling.

Fryzlewicz, P., Van Bellegem, S. and von Sachs, R.

02:05 - Some limiting results for discount Bayesian dynamic models.

Triantafyllopoulos, K.

02:06 - Observability and the eigenstructure of multivariate canonical dynamic linear models.

Triantafyllopoulos, K.

02:07 - Improving the acceptance rate of reversible jump MCMC proposals.

Al-Awadhi, F., Hurn, M. and Jennison, C.

02:08 - A wavelet-Fisz algorithm for Poisson intensity estimation.

Fryzlewicz, P. and Nason, G. P.

02:09 - First passage time and level crossing probabilities for linear processes.

Basak, G.K. and Ho, K.W.

02:10 - Statistical image analysis for a confocal microscopy 2D section of cartilage growth.

Al-Awadhi, F., Jennison, C. and Hurn, M.

02:11 - Moments and cumulants of the multivariate real and complex Gaussian distributions.

Triantafyllopoulos, K.

02:12 - Weak probability modelling with application to dynamic models.

Triantafyllopoulos, K. and Harrison, P.J.

02:13 - Population-level reinforcement learning resulting in smooth best response dynamics.

Leslie, D.S. and Collins, E.J.

02:14 - Modelling and forecasting financial log-returns as locally stationary wavelet processes.

Fryzlewicz, P.

02:15 - Finding needles and hay in haystacks: Risk bounds for empirical Bayes estimates of possibly sparse sequences.

Johnstone, I.M. and Silverman, B.W.

02:16 - EbayesThresh: R and S-PLUS software for Empirical Bayes thresholding.

Johnstone, I.M. and Silverman, B.W.

The EBayesThresh web page contains software to implement the methods in this report and reports 02:15 and 02:17.

02:17 - Empirical Bayes selection of wavelet thresholds.

Johnstone, I.M. and Silverman, B.W.

02:18 - A note on the lilypond model.

Cotar, C. and Volkov, S.E.

02:19 - Stability of stochastic approximation under verifiable conditions.

Andrieu, C., Moulines, E. and Priouret, P.

02:20 - On the ergodicity properties of some adaptive Monte Carlo algorithms.

Andrieu, C. and Moulines, E.

02:21 - On sequential i.i.d. random mappings of a finite set into itself.

Volkov, S.

02:22 - Vertex-reinforced jump processes on trees and finite graphs.

Davis, B. and Volkov, S.