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Statistics Discipline

Technical Reports 2011

No.  Author(s) and Title  
11/08

J. Haslett, C. Joshi and R. Vrousai Geveli, On efficient estimation of the variance of the randomised quasi Monte Carlo estimate

11/07

C. Joshi and S.P. Wilson, Grid-based Bayesian inference for stochastic differential equation models

11/06

Joshi and S.P. Wilson, Modeling dynamic force using stochastic differential equations

11/05 T. Mai, B. Ghosh and S.P. Wilson, Multivariate short-term traffic flow forecasting using Bayesian vector autoregressive moving average model
11/04 B. Houlding and J. Haslett, Scheduling parallel conference sessions: an application of a hybrid clustering algorithm for constrained cardinality
11/03 B. Houlding and F.P.A. Coolen, Nonparametric predictive utility inference
11/02 J.W. Yoon, S.P. Wilson, K. Kayabol and E.E. Kuruoglu, Variant functional approximations for latent Gaussian models
11/01 J.W. Yoon and S.P. Wilson, Bayesian ICA-based source separation of Cosmic Microwave Background by a discrete functional approximation

Technical Reports 2010

No.  Author(s) and Title  
10/01 J.W. Yoon and S.P. Wilson, Mean Shift Algorithm with Heterogeneous Node Weights
   

Technical Reports 2009

No. Author(s) and Title
09/08 R Vatsa and S.P. Wilson, The Variational Bayes Method For Inverse Regression Problems
With an Application To The Palaeoclimate Reconstruction.
09/07 J.W. Yoon and S.P. Wilson, The efficient selection of an initial mode for gaussian approximation.
09/06

J.W. Yoon, M. Brady and S.J. Roberts, Shape representation with firing intersections.

09/05

H. Kim and J.W. Yoon, Methodology for analysis of the research trend: a case study of security research in South Korea.

09/04 K. Domijan and S.P. Wilson, Bayesian kernel projections for classification of high dimensional data.
09/03 S.P. Wilson and S. Goyal, Estimating production test properties from test measurement data using Gaussian mixtures
09/02 B. Houlding, A. Bhattacharya, S.P. Wilson and T.K. Forde, A fast Bayesian model for latent radio signal prediction
09/01 S. Dahyot, R, Mean-Shift for statistical hough transform

Technical Reports 2008

No. Author(s) and Title
08/01 S. P. Wilson, E. Kuruoglu and E. Salerno, Fully Bayesian blind source
separation of astrophysical images modelled by mixtures of Gaussians

Technical Reports 2007

No. Author(s) and Title
07/01 P. D. McNicholas, T. N. Murphy and M. O'Regan, Standardising the lift
of an association rule.
07/02 B. Flood, S.P. Wilson and S. Vilkomir, Propagation of uncertainty through a segregated failure model.
07/03 K. Domijan and S. P. Wilson, Bayesian multinomial classification method using kernels.
07/04 E. Heron and C. Walsh, Bayesian discrete latent spatial modelling of crack initiation in orthopaedic hip replacement bone cement.
07/05 E. Heron and C. Walsh, A continuous latent spatial model for crack initiation in bone cement.
07/06 C. Walsh and K. Mengersen, Model specification in hierarchical meta analysis.

Technical Reports 2006

 
No. Author(s) and Title
06/01
06/02
06/03
Nonparametric Analysis of the Order-statistic Model in Software Reliability Simon P. Wilson and Francisco J. Samaniego
06/04
D. Moore and S. P. Wilson, Predicting the reliability of
components produced in an Improving Production Process

Technical Reports 2005

 
No. Author(s) and Title
05/01
05/02
05/03
05/04
05/05
05/06
K. McDaid and S.P. Wilson, A split Poisson process model for the occurrence of defects and change requests during user acceptance testing.
05/07
M. Stuart, Mathematical thinking versus statistical thinking; redressing the balance in statistical teaching
05/08
R. Dahyot and S.P. Wilson, Robust scale estimation for the generalized Gaussian probability density function
05/09
I.C. Gormley and T.B. Murphy, Exploring heterogeneity in Irish voting data: a mixture modelling approach
05/10
D. Toher, G. Downey and T.B. Murphy, A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies
05/11
P.D. McNicholas and T.B. Murphy, Parsimonious Gaussian mixture models