GILL, RICHARD DAVID / Mathématiques / Chercheurs

Centre International de Recherche Scientifique

Chercheurs

Mathématiques / GILL, RICHARD DAVID

gillmath.uu.nl

Position

Chair in Mathematical Statistics and Probability Theory, Mathematical Institute, University Utrecht, Utrecht, The Netherlands.

Coordinator of the project Statistical Information and Modelling at Eurandom (Eindhoven, Netherlands).

Thèmes de recherche

He has worked in survival analysis, counting processes, semiparametric models, spatial statistics and most recently quantum statistics.

Prix et récompenses

Member of European Regional Committee of Bernoulli Society for Mathematical Statistics and Probability (1986–1990).
Member of selection committee IMS invited papers (1990–1994).
Member of IMS committee travel grants for young researchers (1991–1994).
Scientific secretary Bernoulli Society (1992–1996).
Member of council of IMS (1996–2000), (2003–).
Member of board of Mathematical Statistics Section of Dutch Statistical Society (VVS) (1983–1987).
Jury member VVS prize for best master’s thesis (1989–1996).
Member of examination committee ‘statistician VVS’ (1986–1989).
Chairman VVS committee Van Dantzig Prize 1995.
Member of Bernoulli Society’s Year 2000 Committee.
Chairman VVS committee Van Dantzig Prize 2005.
Member of Bernoulli Society’s Committee for Statistics and Probability in the Physical Sciences.
Advisor to Bernoulli Society Publication Committee on Electronic Publishing, Liaison with IMS.
Member scientific council of AQPIDA (Association for Quantum Probability and Infinite Dimensional Analysis).

Publications

L. M. Artiles, R. D. Gill, and M. I. Guta (2005). An invitation to quantum tomography. J. Roy. Statist. Soc. (B) 67, 109–134. math.ST/0405595.

W. van Dam, R. D. Gill, and P. Grünwald (2005). The statistical strength of nonlocality proofs. IEEE-TIT

R. D. Gill (2005a). On an argument of David Deutsch. In: M. Schürmann and U. Franz (eds.), Quantum Probability and Infinite Dimensional Analysis: from Foundations to Applications,
QP–PQ: Quantum Probability and White Noise Analysis, Volume 18, World Scientific.

R. D. Gill (2005b). The chaotic chameleon. In: M. Sch¨urmann and U. Franz (eds.), Quantum Probability and Infinite Dimensional Analysis: from Foundations to Applications, QP–PQ: Quantum Probability and White Noise Analysis, Volume 18, World Scientific.

J.-A. Larsson and R. D. Gill (2004). Bell’s inequality and the coincidence-time loophole.
Europhysics Letters 67, 707–713.

J. J. Lok, R. D. Gill, A. W. van der Vaart, and J. M. Robins (2004). Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models. Statistica Neerlandica 58, 271–295.

O. E. Barndorff-Nielsen, R. D. Gill, and P. E. Jupp (2003). On quantum statistical inference. J. Roy. Statist. Soc. (B) 65, 775–816. With discussion and reply by the authors.

R. D. Gill (2003a). Accardi contra Bell (cum mundi): The Impossible Coupling. In: M. Moore, S. Froda, and C. L´eger (eds.), Mathematical Statistics and Applications: Festschrift for Constance van Eeden, IMS Lecture Notes – Monograph Series, Volume 42, pp. 133–154.
Institute of Mathematical Statistics, Beachwood, Ohio.

R. D. Gill (2003b). Time, finite statistics, and Bell’s fifth position. In: Foundations of
probability and physics, 2 (V¨axj¨o, 2002), volume 5 of Math. Model. Phys. Eng. Cogn. Sci.,
pp. 179–206. V¨axj¨o Univ. Press, V¨axj¨o.

R. D. Gill, G. Weihs, A. Zeilinger, and M. ˙ Zukowski (2003). Comment on “Exclusion of time
in the theorem of Bell” by K. Hess and W. Philipp. Europhysics Letters 61, 282–283.

G. M. D’Ariano, R. D. Gill, M. Keyl, R. F. Werner, B. K¨ummerer, and H. Maassen (2002). The
quantum Monty Hall problem. Quantum Inf. Comput. 2, 355–366.

R. D. Gill and S. Massar (2002). State estimation for large ensembles. Phys. Rev. A 61,
042312–042335.

R. D. Gill, G. Weihs, A. Zeilinger, and M. ˙ Zukowski (2002). No time loophole in Bell’s
theorem: the Hess-Philipp model is nonlocal. Proc. Natl. Acad. Sci. USA 99, 14632–14635
(electronic).

O. E. Barndorff-Nielsen, R. D. Gill, and P. E. Jupp (2001). Quantum information. In:
Mathematics unlimited—2001 and beyond, pp. 83–107. Springer, Berlin.

R. D. Gill (2001a). Asymptotics in quantum statistics. In: State of the Art in Probability and Statistics (Leiden, 1999), volume 36 of IMS Lecture Notes Monogr. Ser., pp. 255–285. Inst.
Math. Statist., Beachwood, OH.

R. D. Gill (2001b). Teleportation into quantum statistics. J. Korean Statist. Soc. 30, 291–325.
30th anniversary of the Korean Statistical Society.

R. D. Gill and J. M. Robins (2001). Causal inference for complex longitudinal data: the
continuous case. Ann. Statist. 29, 1785–1811.
O. E. Barndorff-Nielsen and R. D. Gill (2000).
Fisher information in quantum statistics. J.
Phys. A 33, 4481–4490.

M. B. Hansen, A. J. Baddeley, and R. D. Gill (1999). First contact distributions for spatial
patterns: regularity and estimation. Adv. in Appl. Probab. 31, 15–33.

M. J. van der Laan and R. D. Gill (1999). Efficiency of NPMLE in nonparametric missing data
models. Math. Methods Statist. 8, 251–276. Johann Pfanzagl—on the occasion of his 70th
birthday.

R. D. Gill (1998). Critique of “Elements of quantum probability” by B. K¨ummerer and H.
Maassen. In: Quantum probability communications, QP-PQ, X, pp. 351–361. World Sci.
Publishing, River Edge, NJ.

W. P. Krijnen, T. K. Dijkstra, and R. D. Gill (1998). Conditions for factor (in)determinacy in
factor analysis. Psychometrika 63, 359–367.

A. Baddeley and R. D. Gill (1997). Kaplan-Meier estimators of distance distributions for spatial
point processes. Ann. Statist. 25, 263–292.

C. B. Borkowf, M. H. Gail, R. J. Carroll, and R. D. Gill (1997). Analyzing bivariate continuous
data grouped into categories defined by empirical quantiles of marginal distributions.
Biometrics 53, 1054–1069.

R. D. Gill (1997). Nonparametric estimation under censoring and passive registration. Statist.Neerlandica 51, 35–54.

R. D. Gill, M. J. van der Laan, and J. M. Robins (1997). Coarsening at random:
Characterizations, conjectures, counter-examples. In: D. Y. Lin and T. R. Fleming (eds.),
Proceedings of the first Seattle symposium in biostatistics: survival analysis, pp. 255–294.
Springer.

R. D. Gill and J. M. Robins (1997). Sequential models for coarsening and missingness. In:
D. Y. Lin and T. R. Fleming (eds.), Proceedings of the first Seattle symposium in biostatistics:
survival analysis, pp. 295–305. Springer.

J. M. Robins and R. D. Gill (1997). Non-response models for the analysis of non-monotone
ignorable missing data. Statistics in Medicine 16, 39–56.

S. Brands and R. D. Gill (1996). Cryptography, statistics and pseudorandomness. II. Probab.
Math. Statist. 16, 1–17.

R. D. Gill and M. S. Keane (1996). A geometric proof of the Kochen-Specker no-go theorem.
J. Phys. A 29, L289–L291.

M. B. Hansen, R. D. Gill, and A. Baddeley (1996). Kaplan-Meier type estimators for linear
contact distributions. Scand. J. Statist. 23, 129–155.

J. H. Petersen, P. K. Andersen, and R. D. Gill (1996). Variance components models for survival
data. Statist. Neerlandica 50, 193–211.

S. Brands and R. D. Gill (1995). Cryptography, statistics and pseudorandomness. I. Probab.
Math. Statist. 15, 101–114. Dedicated to the memory of Jerzy Neyman.

R. D. Gill, M. J. van der Laan, and J. A. Wellner (1995). Inefficient estimators of the bivariate
survival function for three models. Ann. Inst. H. Poincar´e Probab. Statist. 31, 545–597.

R. D. Gill and B. Y. Levit (1995). Applications of the Van Trees inequality: a Bayesian
Cram´er-Rao bound. Bernoulli 1, 59–79.

R. D. Gill (1994a). Glivenko-Cantelli for Kaplan-Meier. Math. Methods Statist. 3, 76–87.

R. D. Gill (1994b). Lectures on survival analysis. In: Lectures on probability theory
(Saint-Flour, 1992), volume 1581 of Lecture Notes in Math., pp. 115–241. Springer, Berlin.

A. F. L. Goltermann, R. A. de Vries, A. van Stuivenberg, and R. D. Gill (1994). Curve fitting of labeled platelets: gamma model expanded for severe pathology. International Journal of Bio-medical Computing 35, 231–245.

J. A. van Leeuwen, R. J. Jonker, and R. D. Gill (1994). Octane number prediction based on gas
chromatographic analysis with non-linear regression techniques. Chemometric and Intelligent Laboratory Systems 25, 325–340.

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