Fitting straight lines to point patterns. - Fionn Murtagh; Adrian E. Raftery (Pattern Recognit., 1984)

Linear flaw detection in woven textiles using model-based clustering. - Jonathan G. Campbell; Chris Fraley; Fionn Murtagh; Adrian E. Raftery (Pattern Recognit. Lett., 1997)

Inference in model-based cluster analysis. - Halima Bensmail; Gilles Celeux; Adrian E. Raftery; Christian P. Robert (Stat. Comput., 1997)

How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis. - Chris Fraley; Adrian E. Raftery (Comput. J., 1998)

Model-based methods for textile fault detection. - Jonathan G. Campbell; Chris Fraley; Derek C. Stanford; Fionn Murtagh; Adrian E. Raftery (Int. J. Imaging Syst. Technol., 1999)

Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise. - Derek C. Stanford; Adrian E. Raftery (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Model-based clustering and data transformations for gene expression data. - Ka Yee Yeung; Chris Fraley; Alejandro Murua; Adrian E. Raftery; Walter L. Ruzzo (Bioinform., 2001)

Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC). - Derek C. Stanford; Adrian E. Raftery (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Accurate and efficient curve detection in images: the importance sampling Hough transform. - Daniel Walsh; Adrian E. Raftery (Pattern Recognit., 2002)

Detecting Mines in Minefields With Linear Characteristics. - Daniel Walsh; Adrian E. Raftery (Technometrics, 2002)

Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST. - Chris Fraley; Adrian E. Raftery (J. Classif., 2003)

Model-Based Clustering for Image Segmentation and Large Datasets via Sampling. - Ron Wehrens; Lutgarde M. C. Buydens; Chris Fraley; Adrian E. Raftery (J. Classif., 2004)

Donuts, scratches and blanks: robust model-based segmentation of microarray images. - Qunhua Li; Chris Fraley; Roger Eugene Bumgarner; Ka Yee Yeung; Adrian E. Raftery (Bioinform., 2005)

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. - Ka Yee Yeung; Roger Eugene Bumgarner; Adrian E. Raftery (Bioinform., 2005)

Normal uniform mixture differential gene expression detection for cDNA microarrays. - Nema Dean; Adrian E. Raftery (BMC Bioinform., 2005)

Bayesian inference for multiband image segmentation via model-based cluster trees. - Fionn Murtagh; Adrian E. Raftery; Jean-Luc Starck (Image Vis. Comput., 2005)

Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering. - Chris Fraley; Adrian E. Raftery (J. Classif., 2007)

Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. - Amalia Annest; Roger Eugene Bumgarner; Adrian E. Raftery; Ka Yee Yeung (BMC Bioinform., 2009)

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. - Pavel N. Krivitsky; Mark S. Handcock; Adrian E. Raftery; Peter D. Hoff (Soc. Networks, 2009)

Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill. - Adrian E. Raftery; Miroslav Kárný; Pavel Ettler (Technometrics, 2010)

Probabilistic Weather Forecasting in R. - Chris Fraley; Adrian E. Raftery; Tilmann Gneiting; McLean Sloughter; Veronica J. Berrocal (R J., 2011)

Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. - Ka Yee Yeung; T. A. Gooley; A. Zhang; Adrian E. Raftery; J. P. Radich; V. G. Oehler (Bioinform., 2012)

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data. - Kenneth Lo; Adrian E. Raftery; Kenneth M. Dombek; Jun Zhu; Eric E. Schadt; Roger Eugene Bumgarner; Ka Yee Yeung (BMC Syst. Biol., 2012)

Fast Bayesian inference for gene regulatory networks using ScanBMA. - William Chad Young; Adrian E. Raftery; Ka Yee Yeung (BMC Syst. Biol., 2014)

Improved initialisation of model-based clustering using Gaussian hierarchical partitions. - Luca Scrucca; Adrian E. Raftery (Adv. Data Anal. Classif., 2015)

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. - Maciej Fronczuk; Adrian E. Raftery; Ka Yee Yeung (Source Code Biol. Medicine, 2015)

Properties of latent variable network models. - Riccardo Rastelli; Nial Friel; Adrian E. Raftery (Netw. Sci., 2016)

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. - Luca Scrucca; Michael Fop; Thomas Brendan Murphy; Adrian E. Raftery (R J., 2016)

Use and communication of probabilistic forecasts. - Adrian E. Raftery (Stat. Anal. Data Min., 2016)

Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (BCB, 2018)

Bayesian Additive Regression Trees using Bayesian model averaging. - Belinda Hernández; Adrian E. Raftery; Stephen R Pennington; Andrew C. Parnell (Stat. Comput., 2018)

Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (J. Comput. Biol., 2019)

The vote Package: Single Transferable Vote and Other Electoral Systems in R. - Adrian E. Raftery; Hana Sevcikova; Bernard W. Silverman (R J., 2021)

Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package. - Peiran Liu; Hana Sevcikova; Adrian E. Raftery (J. Stat. Softw., 2023)

Bayesian Hyperbolic Multidimensional Scaling. - Bolun Liu; Shane Lubold; Adrian E. Raftery; Tyler H. McCormick (J. Comput. Graph. Stat., 2024)