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ORCIDCharles C. Taylor
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- affiliation: University of Leeds, Department of Statistics, UK
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2020 – today
- 2024
[i1]Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis, Charles C. Taylor:
Bayesian CART models for aggregate claim modeling. CoRR abs/2409.01908 (2024)- 2022
- [j14]Khaled Alqahtani, Charles C. Taylor, Henry M. Wood
, Arief Gusnanto:
Sparse modelling of cancer patients' survival based on genomic copy number alterations. J. Biomed. Informatics 128: 104025 (2022) - 2021
- [j13]Xin Zhao, Stuart Barber, Charles C. Taylor, Zoka Milan:
Interval forecasts based on regression trees for streaming data. Adv. Data Anal. Classif. 15(1): 5-36 (2021) - [j12]Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor:
Cross-validation is safe to use. Nat. Mach. Intell. 3(4): 276 (2021)
2010 – 2019
- 2018
- [j11]Xin Zhao, Stuart Barber, Charles C. Taylor, Zoka Milan:
Classification tree methods for panel data using wavelet-transformed time series. Comput. Stat. Data Anal. 127: 204-216 (2018) - [c6]Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor:
A New Approach to Measuring Distances in Dense Graphs. LOD 2018: 204-216 - 2014
- [j10]Arief Gusnanto, Charles C. Taylor, Ibrahim Nafisah, Henry M. Wood, Pamela Rabbitts, Stefano Berri:
Estimating optimal window size for analysis of low-coverage next-generation sequence data. Bioinform. 30(13): 1823-1829 (2014) - 2011
- [j9]N. Iranpanah, Mohsen Mohammadzadeh, Charles C. Taylor:
A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics. Comput. Stat. Data Anal. 55(1): 578-587 (2011)
2000 – 2009
- 2008
- [j8]Charles C. Taylor:
Automatic bandwidth selection for circular density estimation. Comput. Stat. Data Anal. 52(7): 3493-3500 (2008) - 2007
- [j7]J. R. Davies, Richard M. Jackson, Kanti V. Mardia, Charles C. Taylor:
The Poisson Index: a new probabilistic model for protein-ligand binding site similarity. Bioinform. 23(22): 3001-3008 (2007) - [j6]Matthew J. Langdon, Charles C. Taylor, Robert M. West:
Classification of type I-censored bivariate data. Comput. Stat. Data Anal. 51(9): 4562-4576 (2007) - 2006
- [j5]N. Miklós Arató, Ian L. Dryden, Charles C. Taylor:
Hierarchical Bayesian modelling of spatial age-dependent mortality. Comput. Stat. Data Anal. 51(2): 1347-1363 (2006) - 2005
- [j4]Marco Di Marzio, Charles C. Taylor:
Kernel density classification and boosting: an L2 analysis. Stat. Comput. 15(2): 113-123 (2005) - [j3]Marco Di Marzio, Charles C. Taylor:
On boosting kernel density methods for multivariate data: density estimation and classification. Stat. Methods Appl. 14(2): 163-178 (2005) - 2004
- [j2]Charles C. Taylor, András Zempléni:
Chain plot: a tool for exploiting bivariate temporal structures. Comput. Stat. Data Anal. 46(1): 141-153 (2004)
1990 – 1999
- 1999
- [j1]Mohammed Reza Faghihi, Charles C. Taylor, Ian L. Dryden:
Procrustes shape analysis of triangulations of a two coloured point pattern. Stat. Comput. 9(1): 43-53 (1999) - 1998
- [c5]Gholamreza Nakhaeizadeh, Charles C. Taylor, Carsten Lanquillon:
Evaluating Usefulness for Dynamic Classification. KDD 1998: 87-93 - 1997
- [c4]Charles C. Taylor, Gholamreza Nakhaeizadeh, G. Kunisch:
Statistical Aspects of Classification in Drifting Populations. AISTATS 1997: 521-528 - [c3]Charles C. Taylor, Gholamreza Nakhaeizadeh:
Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues. ECML 1997: 353-360 - 1995
- [c2]Charles C. Taylor, Mohammed Reza Faghihi, Ian L. Dryden:
An Understanding of Muscle Fibre Images. ICIAP 1995: 223-228 - 1994
- [b1]Donald Michie, David J. Spiegelhalter, Charles C. Taylor:
Machine Learning, Neural and Statistical Classification. Ellis Horwood 1994, ISBN 0-13-106360-X - 1992
- [c1]A. Sutherland, Bob Henery, Rafael Molina, Charles C. Taylor, Ross D. King:
Statistical Methods in Learning. IPMU 1992: 173-182
Coauthor Index
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