default search action
Thomas Brendan Murphy
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [i5]Marion Bartl, Thomas Brendan Murphy, Susan Leavy
:
Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context. CoRR abs/2502.13120 (2025) - 2024
- [j35]Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy:
Special issue on "advances in models and learning for clustering and classification". Adv. Data Anal. Classif. 18(1): 1-4 (2024) - [j34]Jim Duggan
An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response. Eur. J. Oper. Res. 313(1): 343-358 (2024) - 2023
- [j33]Chiara Bocci
CLADAG 2021 special issue: Selected papers on classification and data analysis. Stat. Anal. Data Min. 16(4): 317-318 (2023) - 2022
- [j32]Michael Fop
Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. 16(1): 55-92 (2022) - [j31]Tin Lok James Ng, Thomas Brendan Murphy:
Model-based clustering for random hypergraphs. Adv. Data Anal. Classif. 16(3): 691-723 (2022) - 2021
- [j30]Tin Lok James Ng
Model-based Clustering of Count Processes. J. Classif. 38(2): 188-211 (2021) - [j29]Andrea Cappozzo
Robust variable selection for model-based learning in presence of adulteration. Comput. Stat. Data Anal. 158: 107186 (2021) - [j28]Francesca Greselin
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis. Stat. Anal. Data Min. 14(4): 295-296 (2021) - 2020
- [j27]Keefe Murphy
Gaussian parsimonious clustering models with covariates and a noise component. Adv. Data Anal. Classif. 14(2): 293-325 (2020) - [j26]Andrea Cappozzo
A robust approach to model-based classification based on trimming and constraints. Adv. Data Anal. Classif. 14(2): 327-354 (2020) - [j25]Amirhossein Jalali
A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort. BMC Medical Informatics Decis. Mak. 20(1): 148 (2020) - [i4]Alessio Serafini, Thomas Brendan Murphy, Luca Scrucca:
Handling missing data in model-based clustering. CoRR abs/2006.02954 (2020)
2010 – 2019
- 2019
- [j24]Adrian O'Hagan, Thomas Brendan Murphy
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap. Comput. Stat. 34(4): 1779-1813 (2019) - [j23]Michael Fop
Model-based clustering with sparse covariance matrices. Stat. Comput. 29(4): 791-819 (2019) - 2018
- [j22]Mateen Shaikh
Standardizing interestingness measures for association rules. Stat. Anal. Data Min. 11(6): 282-295 (2018) - 2017
- [j21]Paolo Giudici, Francesca Greselin
CLADAG 2015 special issue: Selected papers on classification and data analysis. Stat. Anal. Data Min. 10(1): 5 (2017) - 2016
- [j20]Arthur J. White
Exponential family mixed membership models for soft clustering of multivariate data. Adv. Data Anal. Classif. 10(4): 521-540 (2016) - [j19]Adrian O'Hagan, Thomas Brendan Murphy
Clustering with the multivariate normal inverse Gaussian distribution. Comput. Stat. Data Anal. 93: 18-30 (2016) - [j18]Arthur J. White
Mixed-membership of experts stochastic blockmodel. Netw. Sci. 4(1): 48-80 (2016) - [j17]Luca Scrucca
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. R J. 8(1): 289 (2016) - [j16]Arthur J. White
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler. Stat. Comput. 26(1-2): 511-527 (2016) - [j15]Thomas Brendan Murphy:
Statistical thinking and practice. Stat. Anal. Data Min. 9(6): 387 (2016) - 2014
- [j14]Michael Salter-Townshend
Mixtures of biased sentiment analysers. Adv. Data Anal. Classif. 8(1): 85-103 (2014) - [j13]Isabella Gollini
Mixture of latent trait analyzers for model-based clustering of categorical data. Stat. Comput. 24(4): 569-588 (2014) - [c3]Aaron F. McDaid, Neil J. Hurley
Overlapping Stochastic Community Finding. ASONAM 2014: 17-20 - [r1]Isobel Claire Gormley, Thomas Brendan Murphy:
Mixed Membership Models for Rank Data. Handbook of Mixed Membership Models and Their Applications 2014: 441-460 - 2013
- [j12]Marie C. Galligan
Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution. BMC Bioinform. 14: 155 (2013) - [j11]Michael Salter-Townshend
Variational Bayesian inference for the Latent Position Cluster Model for network data. Comput. Stat. Data Anal. 57(1): 661-671 (2013) - [j10]Aaron F. McDaid, Thomas Brendan Murphy
Improved Bayesian inference for the stochastic block model with application to large networks. Comput. Stat. Data Anal. 60: 12-31 (2013) - [j9]Susie Boyce, Yue Fan, Ronald Watson, Thomas Brendan Murphy
Evaluation of prediction models for the staging of prostate cancer. BMC Medical Informatics Decis. Mak. 13: 126 (2013) - [p1]Michael Salter-Townshend
Sentiment Analysis of Online Media. Algorithms from and for Nature and Life 2013: 137-145 - [i3]Mateen Shaikh, Paul David McNicholas, Maria-Luiza Antonie, Thomas Brendan Murphy:
Standardizing Interestingness Measures for Association Rules. CoRR abs/1308.3740 (2013) - 2012
- [j8]Adrian O'Hagan, Thomas Brendan Murphy
Computational aspects of fitting mixture models via the expectation-maximization algorithm. Comput. Stat. Data Anal. 56(12): 3843-3864 (2012) - [j7]Michael Salter-Townshend
Review of statistical network analysis: models, algorithms, and software. Stat. Anal. Data Min. 5(4): 243-264 (2012) - [c2]Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy:
Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM 2012 - [i2]Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley:
Model-based clustering in networks with Stochastic Community Finding. CoRR abs/1205.1997 (2012) - [i1]Francois Caron, Yee Whye Teh, Thomas Brendan Murphy:
Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data. CoRR abs/1211.5037 (2012) - 2010
- [j6]Paul David McNicholas
Model-based clustering of microarray expression data via latent Gaussian mixture models. Bioinform. 26(21): 2705-2712 (2010) - [j5]Paul David McNicholas
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models. Comput. Stat. Data Anal. 54(3): 711-723 (2010)
2000 – 2009
- 2009
- [j4]Yue Fan, Thomas Brendan Murphy
digeR: a graphical user interface R package for analyzing 2D-DIGE data. Bioinform. 25(22): 3033-3034 (2009) - 2008
- [j3]Paul David McNicholas
Standardising the lift of an association rule. Comput. Stat. Data Anal. 52(10): 4712-4721 (2008) - [j2]Paul David McNicholas
Parsimonious Gaussian mixture models. Stat. Comput. 18(3): 285-296 (2008) - 2006
- [c1]Isobel Claire Gormley, Thomas Brendan Murphy
A Latent Space Model for Rank Data. SNA@ICML 2006: 90-102 - 2003
- [j1]Thomas Brendan Murphy
Mixtures of distance-based models for ranking data. Comput. Stat. Data Anal. 41(3-4): 645-655 (2003)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-03 00:03 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: