Publications (Computational Statistics and Machine Learning) | Department of Statistics

Publications

Caron, F., Davy, M. and Doucet, A. (2007) “Generalized polya urn for time-varying dirichlet process mixtures”, in Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007, pp. 33–40.

Kurihara, K., Welling, M. and Teh, Y. (2007) “Collapsed variational dirichlet process mixture models”, in IJCAI International Joint Conference on Artificial Intelligence, pp. 2796–2801.

Teh, Y., Görür, D. and Ghahramani, Z. (2007) “Stick-breaking construction for the Indian buffet process”, Journal of Machine Learning Research, 2, pp. 556–563.

Teh, Y., Newman, D. and Welling, M. (2007) “A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation”, Advances in Neural Information Processing Systems, pp. 1353–1360.

Jasra, A., Stephens, D. and Holmes, C. (2007) “Population-Based Reversible Jump Markov Chain Monte Carlo”, Biometrika, 94(4), pp. 787–807.

Jasra, A., Stephens, D. and Holmes, C. (2007) “On population-based simulation for static inference”, Statistics and Computing, 17(3), pp. 263–279.

Chen, P.-Y., Deane, C. and Reinert, G. (2007) “A statistical approach using network structure in the prediction of protein characteristics”, Bioinformatics, 23(17), pp. 2314–2321.

Caron, F. et al. (2007) “Particle Filtering for Multisensor Data Fusion with Switching Observation Models: Application to Land Vehicle Positioning”, IEEE Transactions on Signal Processing, 55(6), pp. 2703–2719.

Huey, R. et al. (2007) “A semiempirical free energy force field with charge‐based desolvation”, Journal of Computational Chemistry, 28(6), pp. 1145–1152.

Dellaportas, P., Denison, D. and Holmes, C. (2007) “Flexible Threshold Models for Modelling Interest Rate Volatility”, Econometric Reviews, 26(2-4), pp. 419–437.