Murphy, Thomas Brendan

1. Joint Modelling of Multiple Network Views
   2013/01/16 by Isabella Gollini, Gollini, Isabella, Thomas Brendan Murphy +1 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Applications (stat.AP) #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Gene expression and cancer classification #Methodology (stat.ME)
2. Model-based Clustering with Sparse Covariance Matrices
   2017/11/21 by Michael Fop, Fop, Michael, Luca Scrucca +2 · 1 citation
   Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
3. Model-based clustering for random hypergraphs
   2018/08/15 by Ng, Tin Lok James, Murphy, Thomas Brendan · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
4. Handling missing data in model-based clustering
   2020/06/04 by Alessio Serafini, Serafini, Alessio, Thomas Brendan Murphy +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
5. Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
   2021/01/29 by Casa, Alessandro, O'Callaghan, Tom F., Murphy, Thomas Brendan · 1 citation
   #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
6. Unobserved classes and extra variables in high-dimensional discriminant\n analysis
   2021/02/03 by Michael Fop, Pierre‐Alexandre Mattei, Fop, Michael +5 · 1 citation
   Agricultural and Biological Sciences · Chemistry · Engineering · #Advanced Chemical Sensor Technologies #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Sensory Analysis and Statistical Methods #Spectroscopy and Chemometric Analyses