[1] Copas, J.B. and Eguchi, S. (2010), Likelihood for statistically equivalent models, JRSS, B, 72:193-217.
[2] Li, Y., Savage, M. and Warde, A. (2008), Social mobility and social capital in contemporary Britain, Br. J. Sociology, 59:391-411.
[3] Farrington, C.P., Kanaan, M.N., Gay, N.J. (2001), Estimation of the basic reproduction number for infectious diseases from age-stratified serological survey data (with Discussion), JRSS, C, 50:251-283.
[4] Croux, C. and Haesbroeck, G. (2000), Principal component analysis based on robust estimators of the covariance or correlation matrix: Influence functions and efficiencies, Biometrika, 87:603-618.
[5] Lindsay, B.G. (1995), Mixture Models: Theory, Geometry, and Applications, IMS: Hayward, California.
[6] Ahn, J., Marron, J.S., Muller, K.M. and Chi, Y.-Y. (2007), The high-dimension, low-sample-size geometric representation holds under mild conditions, Biometrika, 94:760-766.
[7] Handling uncertainty in science, Phil. Trans. Roy. Soc. A, (13 December 2011), vol. 369, no. 1956.
[8] ICMS (2010) Mixture estimation and applications workshop: http://www.icms.org.uk/workshops/mixture
[9] INI (2008) Statistical Theory and Methods for Complex, High-Dimensional Data programme: http://www.newton.ac.uk/programmes/SCH/index.html
[10] Girolami, M. and Calderhead, B. (2011), Riemann manifold Langevin and Hamiltonian Monte Carlo methods (with Discussion), JRSS, B, 73:123-214.
[11] Barndorff-Nielsen, O.E. (1976), Plausibility Inference (with Discussion), JRSS, B, 38:103-131.
[12] Vos, P.W. and Hudson, S. (2005), Evaluation criteria for discrete confidence intervals: Beyond coverage and length, American Statistician, 59:137-142.
[13] Morris, C. (1975), Central Limit Theorems for Multinomial Sums, Annals of Statistics, 3:165-188.
[14] Koehler, K.J. and Larntz, K. (1980), An Assessment of Several Asymptotic Approximations for Sparse Multinomials, JASA, 75:336-344.
[15] Lauritzen, S.L. (1996), Graphical Models, Clarendon Press, Oxford.
[16] Geyer, C. J., (2009), Likelihood inference in exponential families and directions of recession, Electronic Journal of Statistics, 3:259-289.
[17] Fienberg, S.E. and Rinaldo, A. (2012), Maximum likelihood estimation in log-linear models, Annals of Statistics, 40:996-1023.
[18] Gibilisco, P., Riccomagno, E., Rogantin, M.P. and Wynn, H.P. (2010), Algebraic and Geometric Methods in Statistics, Cambridge University Press.
[19] Mengersen, K.L., Robert, C.P. and Titterington, D.M. (2011), Mixtures: Estimation and Applications, Wiley: New York.
[20] Kim, D. and Lindsay, B.G. (2012), Topology of mixture likelihood regions, under consideration.
[21] Marriott, P. (2002), On the local geometry of Mixture Models, Biometrika, 89:77-89.
[22] Zwiernik, P. and Smith, J.Q. (2012), Tree-cumulants and the geometry of binary tree models, Bernoulli, 18:290-321.
[23] Fan, J., Liao Y. and Mincheva, M. (2013) Large covariance estimation by thresholding principal orthogonal complements (with Discussion), JRSS, B, to appear (read before the Society on 13 Feb. 2013).
[24] Hall, P., Marron, J.S. and Neeman, A. (2005), Geometric representation of high dimension, low sample size data, JRSS, B, 67:427-444.
with FC as (co-)author/organiser/PI:
[a] (2009) Invariant Coordinate Selection (with Discussion), JRSS, B, 71:549-592, with D.E. Tyler, L. Dümbgen and H. Oja.
[b] (2007-2010) A Computational Information Geometry Approach to Sensitivity Analysis for Statistical Science, EP/E017878/1.
[c] (2012) Workshop on Graphical Models: Mathematics, Statistics and Computer Science, Fields Institute: Toronto, with H. Massam, F. Matús and J.Q. Smith.
[d] (2004) Data-informed influence analysis, Biometrika, 91:125-140, with P.K. Marriott.
[e] (2012) Computational information geometry: theory and practice, arXiv:1209.1988.
[f] (2013) Logistic regression geometry, (under consideration), with K. Anaya-Izquierdo and P.K. Marriott.
[g] (1985) Configurational similarity in three class contexts in British society, Sociology, 19:72-92, with J.C. Mitchell.
[h] (2011) WOGAS3 workshop: http://www2.warwick.ac.uk/fac/sci/statistics/crism/workshops/wogas3/.
[i] (2012) Computational Information Geometry and Graphical Models, paper at [c], with P.K. Marriott.
[j] (1993) Preferred point geometry and statistical manifolds, Annals of Statistics, 21:1197-1224, with P.K. Marriott and M.H. Salmon.
[k] (2006) Principal Axis Analysis, OU Statistics Technical Report 06/14, with A. Pires and C. Amado.
[l] (2008) Principal Axis Analysis – with HDLSS bonuses! Invited talk at GfKl meeting, Hamburg, with A. Pires and C. Amado.
[m] (1988) On certain linear mappings between inner-product and squared-distance matrices, Linear Algebra and Its Applications, 105:91-107.