Publications (Computational Statistics and Machine Learning) Publications Zhai, Z. et al. (2012) “Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads”, Journal of Computational Biology, 19(6), pp. 839–854. Rito, T., Deane, C. and Reinert, G. (2012) “The Importance of Age and High Degree, in Protein-Protein Interaction Networks”, Journal of Computational Biology, 19(6), pp. 785–795. Caron, F., Doucet, A. and Gottardo, R. (2012) “On-line changepoint detection and parameter estimation with application to genomic data”, Statistics and Computing, 22(2), pp. 579–595. Caron, F., Bornn, L. and Doucet, A. (2012) Sparsity-Promoting Bayesian Dynamic Linear Models. Chittenden, T. et al. (2012) “nEASE: a method for gene ontology subclassification of high-throughput gene expression data”, Bioinformatics, 28(5), pp. 726–728. Caron, F., Bornn, L. and Doucet, A. (2012) “Sparsity-Promoting Bayesian Dynamic Linear Models”, arXiv. Lin, K. and Reinert, G. (2012) “Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(n,{pij })”, Advances in Applied Probability, 44(1), pp. 139–165. Lin, K. and Reinert, G. (2012) “Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(<span class="italic">n</span>,{<span class="italic">p<span class=‘sub’>ij</span></span>})”, Advances in Applied Probability, 44(1), pp. 139–165. Lee, A. et al. (2012) “Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors”, Statistical Applications in Genetics and Molecular Biology, 11(2). Lee, A. et al. (2012) “Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors”, Statistical Applications in Genetics and Molecular Biology, 11(2). Pagination First page First Previous page ‹ … Page 53 Page 54 Page 55 Page 56 Page 57 Page 58 Page 59 Page 60 Page 61 … Next page › Last page Last