Adrian E. Raftery

J. Stat. Softw., 2023

2022

Bayesian Hyperbolic Multidimensional Scaling.

[BibT_eX]

[DOI]

CoRR, 2022

2021

The vote Package: Single Transferable Vote and Other Electoral Systems in R.

[BibT_eX]

[DOI]

Hana Sevcikova

Bernard W. Silverman

R J., 2021

2019

Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2019

2018

Bayesian Additive Regression Trees using Bayesian model averaging.

[BibT_eX]

[DOI]

Stat. Comput., 2018

Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016

Use and communication of probabilistic forecasts.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2016

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.

[BibT_eX]

[DOI]

Luca Scrucca

Michael Fop

Thomas Brendan Murphy

R J., 2016

Properties of latent variable network models.

[BibT_eX]

[DOI]

Riccardo Rastelli

Nial Friel

Netw. Sci., 2016

2015

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks.

[BibT_eX]

[DOI]

Maciej Fronczuk

Source Code Biol. Medicine, 2015

Improved initialisation of model-based clustering using Gaussian hierarchical partitions.

[BibT_eX]

[DOI]

Luca Scrucca

Adv. Data Anal. Classif., 2015

2014

Fast Bayesian inference for gene regulatory networks using ScanBMA.

[BibT_eX]

[DOI]

William Chad Young

BMC Syst. Biol., 2014

2012

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2012

Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data.

[BibT_eX]

[DOI]

Bioinform., 2012

2011

Probabilistic Weather Forecasting in R.

[BibT_eX]

[DOI]

R J., 2011

2010

Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill.

[BibT_eX]

[DOI]

Miroslav Kárný

Pavel Ettler

Technometrics, 2010

2009

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models.

[BibT_eX]

[DOI]

Soc. Networks, 2009

Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data.

[BibT_eX]

[DOI]

Amalia Annest

BMC Bioinform., 2009

2007

Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering.

[BibT_eX]

[DOI]

J. Classif., 2007

2005

Bayesian inference for multiband image segmentation via model-based cluster trees.

[BibT_eX]

[DOI]

Fionn Murtagh

Jean-Luc Starck

Image Vis. Comput., 2005

Normal uniform mixture differential gene expression detection for cDNA microarrays.

[BibT_eX]

[DOI]

Nema Dean

BMC Bioinform., 2005

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.

[BibT_eX]

[DOI]

Bioinform., 2005

Donuts, scratches and blanks: robust model-based segmentation of microarray images.

[BibT_eX]

[DOI]

Qunhua Li

Bioinform., 2005

2004

Model-Based Clustering for Image Segmentation and Large Datasets via Sampling.

[BibT_eX]

[DOI]

Ron Wehrens

Lutgarde M. C. Buydens

J. Classif., 2004

2003

Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST.

[BibT_eX]

[DOI]

J. Classif., 2003

2002

Detecting Mines in Minefields With Linear Characteristics.

[BibT_eX]

[DOI]

Daniel Walsh

Technometrics, 2002

Accurate and efficient curve detection in images: the importance sampling Hough transform.

[BibT_eX]

[DOI]

Daniel Walsh

Pattern Recognit., 2002

Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC).

[BibT_eX]

[DOI]

Derek C. Stanford

IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001

Model-based clustering and data transformations for gene expression data.

[BibT_eX]

[DOI]

Bioinform., 2001

2000

Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise.

[BibT_eX]

[DOI]

Derek C. Stanford

IEEE Trans. Pattern Anal. Mach. Intell., 2000

1999

Model-based methods for textile fault detection.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 1999

1998

How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis.

[BibT_eX]

[DOI]

Comput. J., 1998

1997

Inference in model-based cluster analysis.

[BibT_eX]

[DOI]

Stat. Comput., 1997

Linear flaw detection in woven textiles using model-based clustering.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1997

1984

Fitting straight lines to point patterns.

[BibT_eX]

[DOI]

Fionn Murtagh