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Professor John Haslett

Fellow Emeritus (Statistics)
Fellow Emeritus (Trinity Centre for the Environment)
      
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Professor John Haslett

Fellow Emeritus (Statistics)

 John.Haslett@tcd.ie

 

Fellow Emeritus (Trinity Centre for the Environment)


Apart from sabbatical visits to Seattle, Canberra, Sydney and Massey Univ in NZ, I have been in TCD since graduate school in Birmingham. My current interests are focussed on spatio-temporal statistical models and 'related areas'. Applications to wind energy and to palaeo-climate reconstruction have led to modelling ideas which have appeared in papers that have been 'read' the Royal Statistical Society (1989 and 2006, in press). The methodologies have included long memory time series and Markov chain Monte Carlo (MCMC). In particular we have developed fast MCMC methods for leave-k-out cross-validation in 'inverse' models. Other past applications have included digital satellite imagery as used in mineral exploration. Current (Nov 2005) research proposals include applying the Bayesian methods used in our palaeo-climate work to (a) the spread of the Neolithic culture through Europe (with colleagues in Genetics and Archeology) and (b) modern official statistics (with the Central Statistics Office). A related area is that of General Least Squares (GLS), the methodology under-pinning 'geo-statistics', a widely modelling framework used in spatial data analysis. GLS methods underpin many modern and classical statistical procedures. Thus leave-k-out deletion diagnostics, developed for geo-statistics, have very wide application to areas including random coefficient models.
  ANOMALIES   AUTOCORRELATION   AUTOCOVARIANCE   BAYESIAN COMPUTATION   BEST LINEAR UNBIASED ESTIMATION   BEST LINEAR UNBIASED PREDICTION   BIAS   Climate Change   CONDITIONAL RESIDUALS   COOK'S DISTANCE   CORRELATED ERRORS   CROSS-VALIDATION   DIAGNOSTICS   DISPLAY   EXPLORATION GEOCHEMISTRY   EXPLORATORY DATA ANALYSIS   GENERAL COVARIANCE STRUCTURE   GENERALIZED LEAST SQUARES   GEOSTATISTICS   INTERACTIVE COMPUTER GRAPHICS   LINKED VIEWS   MAHALANOBIS DISTANCE   Mathematical Modelling   NEAR-NEIGHBOR COMPARISON   NON-STATIONARY MEAN   NON-STATIONARY VARIANCE   ONE MANY LINKS   OUTLIERS   OVERLAYS   PAIRS   POINT PROCESS   REGRESSION   REGRESSION DIAGNOSTICS   RESIDUALS   RESTORATION   SPATIAL DATA   SPATIAL STATISTICS   STATIONARITY   STATISTICAL-ANALYSIS   SUBSETS   SYSTEMS   TIME SERIES   VARIOGRAM
Details Date From Date To
Royal Statistics Society
Fellow of TCD 1989
Houlding B, and Haslett J, Scheduling Parallel Conference Sessions: An Application of a Novel Hybrid Clustering Algorithm for Ensuring Constrained Cardinality, Journal of Applied Statistics, 40, (5), 2013, p961 - 971, Journal Article, PUBLISHED  DOI
Salter-Townshend, M, Haslett, J, Fast inversion of a flexible regression model for multivariate pollen counts data, ENVIRONMETRICS, 23, (7), 2012, p595-605 , Journal Article, PUBLISHED  DOI
Houlding B & Haslett J, Method and System for Scheduling of Events, 2011, Patent, SUBMITTED
Haslett, J Challenor, P, Palaeoclimate Histories, Insights, Durham University, 3, 2010, p1 - 20, Journal Article, PUBLISHED
Haslett, J and Salter-Townshend, M, Contribution to INLA, Rue at al 2008, Journal of the Royal Statistical Society, Series B, 71, (2), 2009, p369 - 370, Journal Article, PUBLISHED
Haslett, J and Parnell A, A simple monotone process with application to radiocarbon dated depth chronologies, Journal of the Royal Statistical Society, Series C, 57, (4), 2008, p399 - 418, Journal Article, PUBLISHED  DOI
Parnell, A.C. , Haslett, J., Allen, J.R.M., Buck, C.E. , Huntley, B., A flexible approach to assessing synchroneity of past events using Bayesian reconstructions of sedimentation history, Quaternary Science Reviews, 27, (19-20), 2008, p1872-1885 , Journal Article, PUBLISHED  DOI
Haslett, J and Parnell A, Comment on article by Blackwell and Buck, Bayesian Analysis, 3, (2), 2008, p249 - 254, Notes: [Invited contribution to the discussion of the paper by Blackwell and Buck in the same edition of Bayesian Analysis], Journal Article, PUBLISHED  DOI
J. Haslett and S.J. Haslett, The Three Basic Types of Residual for a Linear Model, International Statistics Review, 75, (1), 2007, p1 - 24, Journal Article, PUBLISHED  DOI
Bhattacharya, S and Haslett J, Importance Re-sampling MCMC for, Bayesian Analysis, 2, (2), 2007, p385 - 408, Journal Article, PUBLISHED  DOI  URL
  

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Haslett, J., Parnell, A., and Salter-Townshend, M. , Modelling temporal uncertainty in palaeoclimate reconstructions, the 21st International Workshop on Statistical Modelling, Galway, Ireland, July 2006, edited by J. Hinde J. Einbeck , 2006, pp26-37 , Conference Paper, PUBLISHED
Salter-Townshend, M. and Haslett, J., Modelling zero inflation of compositional data,, 21st International Workshop on Statistical Modelling, Galway, Ireland, July 2006, edited by J.Hinde, J. Einbeck , 2006, Notes: [Salter-Townshend, M. and Haslett, J. (2006), Modelling zero inflation of compositional data, Proceedings of the 21st International Workshop on Statistical Modelling, 448-456], Conference Paper, PUBLISHED

  


Award Date
Elected member of the International Statistical Institute 2003