Charles C. Taylor

发表

Classification tree methods for panel data using wavelet-transformed time series

Xin Zhao, Stuart Barber, Charles C. Taylor, 2018, Comput. Stat. Data Anal..

Kernel density classification and boosting: an L2 analysis

Charles C. Taylor, M. Di Marzio, 2005, Stat. Comput..

Promoting Access to White Rose Research Papers Automatic Bandwidth Selection for Circular Density Estimation

Charles C. Taylor, C. Taylor, Research Online, 2022 .

Meta-Analysis: From Data Characterisation for Meta-Learning to Meta-Regression

Charles C. Taylor, Christian Kopf, C. Taylor, 2000 .

On boosting kernel density methods for multivariate data: density estimation and classification

Charles C. Taylor, Marco Marzio, 2005, Stat. Methods Appl..

Matching unlabelled configurations and protein bioinformatics

Kanti V. Mardia, Charles C. Taylor, John T. Kent, 2007 .

Procrustes shape analysis of triangulations of a two coloured point pattern

Charles C. Taylor, Ian L. Dryden, Mohammed Reza Faghihi, 1999, Stat. Comput..

Classification of type I-censored bivariate data

Charles C. Taylor, Robert M. West, Matthew J. Langdon, 2007, Comput. Stat. Data Anal..

Estimating optimal window size for analysis of low-coverage next-generation sequence data

Henry M. Wood, Charles C. Taylor, Pamela Rabbitts, 2014, Bioinform..

The Poisson Index: a new probabilistic model for protein-ligand binding site similarity

Kanti V. Mardia, Charles C. Taylor, J. R. Davies, 2007, Bioinform..

Simulating Correlated Marked-point Processes

Charles C. Taylor, Peter A. Dowd, Chaoshui Xu, 2007 .

A New Approach to Measuring Distances in Dense Graphs

Charles C. Taylor, Peter A. Thwaites, Fatimah A. Almulhim, 2018, LOD.

Statistical Estimate of Radon Concentration from Passive and Active Detectors in Doha

Kassim Mwitondi, Charles C. Taylor, Kassim S. Mwitondi, 2018, Data.

Interval forecasts based on regression trees for streaming data

Xin Zhao, Stuart Barber, Charles C. Taylor, 2019 .

An Understanding of Muscle Fibre Images

Charles C. Taylor, Ian L. Dryden, Mohammed Reza Faghihi, 1995, ICIAP.

A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics

Charles C. Taylor, M. Mohammadzadeh, N. Iranpanah, 2011, Comput. Stat. Data Anal..

Chain Plot: A Tool for Exploiting Bivariate Temporal Structures

Charles C. Taylor, András Zempléni, C. Taylor, 2003, Comput. Stat. Data Anal..

Hierarchical Bayesian modelling of spatial age-dependent mortality

Charles C. Taylor, N. Miklós Arató, Ian L. Dryden, 2006, Comput. Stat. Data Anal..

Cross-validation is safe to use

Ross D. King, Charles C. Taylor, Oghenejokpeme I. Orhobor, 2021, Nature Machine Intelligence.

The package: nonparametric regression using local rotation matrices in

Charles C. Taylor, Giovanni Lafratta, Stefania Fensore, 2021 .

On boosting kernel regression

Charles C. Taylor, Marco Di Marzio, 2008 .

Statistical approaches to image restoration

Kanti V. Mardia, Charles C. Taylor, J. A. Little, 1995 .

Boosting kernel density estimates: A bias reduction technique?

Charles C. Taylor, Marco Di Marzio, C. Taylor, 2004 .

Kernel Density Classification and Boosting

Charles C. Taylor, Marco Di Marzio, 2003 .

Local polynomial regression for circular predictors

Charles C. Taylor, Marco Di Marzio, Agnese Panzera, 2009 .

Bayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methods

Charles C. Taylor, Ian L. Dryden, I. Dryden, 2003 .

Bootstrap choice of the smoothing parameter in kernel density estimation

Charles C. Taylor, C. Taylor, 1989 .

Kernel density estimation on the torus

Charles C. Taylor, Marco Di Marzio, Agnese Panzera, 2011 .

Air ionisation and colonisation/infection with methicillin-resistant Staphylococcus aureus and Acinetobacter species in an intensive care unit

Clive B. Beggs, Charles C. Taylor, P. Andrew Sleigh, 2005, Intensive Care Medicine.

Image segmentation using Voronoi Polygons and MCMC

Rahman Farnoosh, Charles C. Taylor, Ian L. Dryden, 2000 .

Boosted Regression Estimates of Spatial Data: Pointwise Inference

Charles C. Taylor, Marco Di Marzio, C. Taylor, 2005 .

Non‐parametric Regression for Circular Responses

Charles C. Taylor, Marco Di Marzio, Agnese Panzera, 2013 .

Size Analysis of Nearly Regular Delaunay Triangulations

Charles C. Taylor, Ian L. Dryden, M. R. Faghihi, 1999 .

Efficiency of the pseudolikelihood for multivariate normal and von Mises distributions

Kanti V. Mardia, Charles C. Taylor, K. Mardia, 2007 .

A multivariate von mises distribution with applications to bioinformatics

Kanti V. Mardia, Charles C. Taylor, Harshinder Singh, 2008 .

Local binary regression with spherical predictors

Charles C. Taylor, Stefania Fensore, Agnese Panzera, 2019, Statistics & Probability Letters.

On bias in maximum likelihood estimators

Kanti V. Mardia, Charles C. Taylor, K. Mardia, 1999 .

Circular local likelihood

Charles C. Taylor, Marco Di Marzio, Stefania Fensore, 2018, TEST.

Mixtures of concentrated multivariate sine distributions with applications to bioinformatics

Kanti V. Mardia, Charles C. Taylor, Thomas Hamelryck, 2012 .

Knowledge based geometric object recognition

Kanti V. Mardia, Charles C. Taylor, R. J. Morris, 1997 .

Kernel density classification for spherical data

Charles C. Taylor, Stefania Fensore, Agnese Panzera, 2019, Statistics & Probability Letters.