| Issue Date | Title | Author(s) |
| 2019-05-01 | AdaSampling for positive-unlabeled and label noise learning with bioinformatics applications | Yang, P; Ormerod, JT; Liu, W; Ma, C; Zomaya, AY; Yang, JYH |
| 2012-01-01 | Continued fraction enhancement of Bayesian computing | Wand, MP; Ormerod, JT |
| 2010-05-01 | Explaining variational approximations | Ormerod, JT; Wand, MP |
| 2020 | Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation | Hall, P; Johnstone, IM; Ormerod, JT; Wand, MP; Yu, JCF |
| 2012-04-23 | Gaussian variational approximate inference for generalized linear mixed models | Ormerod, JT; Wand, MP |
| 2014-01-01 | Mean field variational bayes for continuous sparse signal shrinkage: Pitfalls and remedies | Neville, SE; Ormerod, JT; Wand, MP |
| 2011-12-01 | Mean field variational bayes for elaborate distributions | Wand, MP; Ormerod, JT; Padoan, SA; Frührwirth, R |
| 2013-08-26 | Mean field variational Bayesian inference for nonparametric regression with measurement error | Pham, TH; Ormerod, JT; Wand, MP |
| 2008-06-01 | On semiparametric regression with O'Sullivan penalized splines | Wand, MP; Ormerod, JT |
| 2010-03-01 | Parsimonious classification via generalized linear mixed models | Kauermann, G; Ormerod, JT; Wand, MP |
| 2008-10-01 | Penalised spline support vector classifiers: Computational issues | Ormerod, JT; Wand, MP; Koch, I |
| 2011-12-01 | Penalized wavelets: Embedding wavelets into semiparametric regression | Wand, MP; Ormerod, JT |
| 2019-05-14 | scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets. | Lin, Y; Ghazanfar, S; Wang, KYX; Gagnon-Bartsch, JA; Lo, KK; Su, X; Han, Z-G; Ormerod, JT; Speed, TP; Yang, P; Yang, JYH |
| 2018-10-01 | Semiparametric regression analysis via Infer.NET | Luts, J; Wang, SSJ; Ormerod, JT; Wand, MP |
| 2011-01-01 | Theory of Gaussian variational approximation for a Poisson mixed model | Hall, P; Ormerod, JT; Wand, MP |
| 2011-10-21 | Variational Bayesian inference for parametric and nonparametric regression with missing data | Faes, C; Ormerod, JT; Wand, MP |
| 2016-01-01 | Wavelet-based gradient boosting | Dubossarsky, E; Friedman, JH; Ormerod, JT; Wand, MP |
