04:01 - Perfect simulation for wavelet thresholding with correlated coefficients.

Ambler, G. and Silverman, B.W.

04:02 - An Ornstein-Uhlenbeck process associated to self-normalized sums.

Basak, G.K. and Dasgupta, A.

04:03 - Assessing the risk in sample minimum risk portfolios.

Basak, G.K., Jagannathan, R. and Ma, T.

04:04 - Perfect simulation of spatial point processes using dominated coupling from the past with application to a multiscale area-interaction point process.

Ambler, G. and Silverman, B.W.

04:-5 - Convergence of stochastic approximation for Lyapunov stable dynamics: a proof from first principles.

Andrieu, C., Moulines, E. and Volkov, S.

04:06 - Smoothing the wavelet periodogram using the Haar-Fisz transform.

Fryzlewicz, P. and Nason, G.P.

04:07 - Bayesian alignment using hierarchical models, with applications in protein bioinformatics.

Green, P.J. and Mardia, K.

04:08 - Generalised weakened fictitious play.

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

04:09 - Individual Q-learning in normal form games.

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

04:10 - Dynamical detection of change points in long time series.

Chopin, N.

04:11 - Pinktoe: semi-automatic traversal of trees.

Nason, G.P.

(Revised version of 01:17)

04:12 - Limit theorems for some urn models: a martingale tail based approach.

Basak, G. and Dasgupta, A.

04:13 - A note on the simple random walk on Z^2 : probability of exiting sequences of sets.

Volkov, S.

04:14 - Phase transition in vertex-reinforced random walks on Z with non-linear reinforcement.

Volkov, S.

04:15 - A probabilistic model for 5k+1 problem.

Volkov, S.

04:16 - Periodicity in the transient regime of exhaustive polling systems.

Menshikov, M., MacPhee, I., Popov, S. and Volkov, S.

04:17 - Multivariate nonparametric regression using lifting.

Jansen, M., Nason, G.P. and Silverman, B.W.

04:18 - Simulations and examples for multivariate nonparametric regression using lifting.

Nason, G.P., Jansen, M. and Silverman, B.W.

04:19 - Improving prediction of hydrophobic segments along a transmembrane protein sequence using adaptive multiscale lifting.

Popa, M. and Nason, G.P.

04:20 - Adaptive lifting for nonparametric regression.

Nunes, M., Popa, M. and Nason, G.P.