Statistical Science

Research output

Research output per year 1991 1999 2000 2001 2006 2015 2016 2017 2018 2019 2020 2021 2024

• 437 Article (Academic Journal)
• 65 Conference Contribution (Conference Proceeding)
• 31 Chapter in a book
• 15 Conference Poster
• 89 More
  • 14 Comment/debate (Academic Journal)
  • 13 Working paper
  • 12 Conference Paper
  • 12 Software
  • 12 Preprint
  • 11 Other contribution
  • 4 Authored book
  • 3 Commissioned report
  • 3 Web publication/site
  • 2 Review article (Academic Journal)
  • 1 Editorial (Academic Journal)
  • 1 Letter (Academic Journal)
  • 1 Patent

Research output per year

Research output per year

Search results

• 2021

  Public Engagement 280 Characters at a Time

  Johnson, O. T., 21 Jan 2021, (E-pub ahead of print) Math in the Time of Corona. Wonders, A. (ed.). Springer

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  Open Access
• 2017

  Entropy and thinning of discrete random variables

  Johnson, O. T., 21 Apr 2017, Convexity and concentration: proceedings of the Spring 2015 Semester of the Theme Year in Discrete Structures, IMA Minneapolis. Carlen, E., Madiman, M. & Werner, E. (eds.). Springer, p. 33-53 (The IMA Volumes in Mathematics and its Applications; vol. 161).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  Open Access

  File

  • Discrete Random Variable 100%
  • Poisson Distribution 50%
  • Poisson Approximation 50%
  • Maximum Entropy 50%
  • Theoretic Approach 50%
  352 Downloads (Pure)
• 2016

  Van der Corput and Golden Ratio sequences along the Hilbert space filling curve

  Schretter, C., He, Z., Gerber, M., Chopin, N. & Niederreiter, H., 2016, Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014. Springer International Publishing AG, (Springer Proceedings in Mathematics & Statistics).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Space-filling Curves 100%
  • Golden ratio 93%
  • Hilbert space 55%
  • Constant function 16%
  5 Citations (Scopus)
• 2015

  MAD-Bayes matching and alignment for labelled and unlabelled configurations

  Green, P., Oct 2015, Geometry driven statistics. Dryden, I. & Kent, J. (eds.). Chichester: John Wiley & Sons, Inc, p. 377 390 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Matching 100%
  • Alignment 100%
  3 Citations (Scopus)
• 2012

  Risk and Uncertainty in Natural Hazards

  Hill, L., Rougier, J. C. & Sparks, R. S. J., 2012, Risk and Uncertainty Assessment of Natural Hazards. Rougier, J., Sparks, R. S. J. & Hill, L. (eds.). Cambridge University Press, p. 1-18

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Hazards 100%
  • Risk 100%
• 2010

  Bayesian modelling for matching and alignment of biomolecules

  Green, P. J., May 2010, The Oxford Handbook of Applied Bayesian Analysis. O'Hagan, A. & West, M. (eds.). Oxford University Press, p. 27-50 24 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Tasks 100%
  • Biomolecule 100%
  • Dimensional Shape 100%
  • Measurement Error 100%
  • Bayesian Model 100%

• Colouring and breaking sticks: random distributions and heterogeneous clustering

  Green, P. J., Jul 2010, Probability and Mathematical Genetics: Papers in Honour of Sir John Kingman. Bingham, N. H. & Goldie, C. M. (eds.). p. 319-344 26 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Clustering 100%
  • Machinery 100%
  • Statistical Modeling 50%
  • Mixture Model 50%
  • Parametric 50%
• 2006

  Randomized Algorithms for Semi-Infinite Programming Problems

  Tadic, VB., Meyn, SP. & Tempo, R., 2006, Probabilistic and Randomized Methods for Design under Uncertainty. Calafiore, G. & Dabene, F. (eds.). Springer Verlag, p. 243 - 263 21 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Programming Problem 100%
  • Stochastics 100%
  • Almost Sure Convergence 50%
  • Monte Carlo 50%
  • Main Result 50%

• Stationary and non-stationary time series

  Nason, GP., 2006, Statistics in Volcanology. Mader, H. & Coles, S. C. (eds.). Geological Society of London, p. 129 - 142 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 2004

  Monte Carlo Methods for Absolute Beginners

  Andrieu, C., 2004, Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, Revised Lectures. Springer Berlin Heidelberg, p. 113 - 145 33 p. (Lecture Notes in Computer Science; vol. 3176).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Monte Carlo Technique 100%
  • Monte Carlo 100%
  • Monte Carlo Simulation 100%
  • Probability Distribution 50%
  • Integer 25%
  5 Citations (Scopus)
• 2003

  Introducing Highly Structured Stochastic Systems

  Green, PJ., 2003, Highly Structured Stochastic Systems. Green, PJ., Hjort, NL. & Richardson, S. (eds.). Oxford University Press, p. 1 - 12

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Trans-dimensional Markov chain Monte Carlo (Chapter 6)

  Green, PJ., 2003, Highly Structured Stochastic Systems. Green, PJ., Hjort, NL. & Richardson, S. (eds.). Oxford University Press, p. 179 - 198

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 2002

  Robust nonparametric regression and modality

  Kovac, A., 2002, Developments in Robust Statistics. Dutter, R., Filzmoser, P., Gather, U. & Rousseeuw, P. (eds.). Physica, Heidelberg, p. 218 - 227

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 2001

  A Primer on Markov chain Monte Carlo

  Green, PJ., 2001, Complex Stochastic Systems. Barndoff-Nielsen, OE., Cox, DR. & Klu<u00FC>ppelberg, C. (eds.). Chapman and Hall, p. 1 - 62 62 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Sequential Monte Carlo Methods for Optimal Filtering

  Andrieu, C., Doucet, A. & Punskaya, E., 2001, Sequential Monte Carlo Methods in Practice. Doucet, A., De Freitas, N. & Gordon, N. (eds.). Springer, New York, NY

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 2000

  Bayesian Computational Approaches to Model Selection

  Andrieu, C., Doucet, A., Fitzgerald, WJ. & Perez, JM., 2000, Nonlinear and Nonstationary Signal Processing. Fitzgerald, W. J., Smith, R. L., Walden, A. T. & Young, P. C. (eds.). Cambridge University Press, (Newton Institute Series).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Non-parametric regression and density estimation under control of modality

  Davies, PL. & Kovac, A., 2000, Proceedings in Computational Statistics. Bethlehem, J. G. & Heijden, P. G. M. V. D. (eds.). Physica, p. 259 - 264 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• On Monte Carlo Methods for Bayesian Data Analysis

  Andrieu, C., Doucet, A. & Fitzgerald, WJ., 2000, Nonlinear Dynamics and Statistics. Mees, A. & Smith, RL. (eds.). Birkhäuser Basel

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Smoothing and regression: approaches computation and application

  Silverman, BW. & Nason, GP., 2000, Wavelets for regression and other statistical problems. In Schimek, MG. (ed.). New York:Wiley

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Wavelets for regression and other statistical problems

  Silverman, BW. & Nason, GP., 2000, Smoothing and Regression:Approaches,Computation and Application. M. G. S. & York:Wiley, N. (eds.). Wiley, p. 159 - 191

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1999

  Exact Sampling for Bayesian inference: towards general purpose algorithms

  Green, PJ., 1999, Bayesian Statistics. Barnado, JM., Berger, JO., David, AP. & Smith, AFM. (eds.). Clarendon Press, Vol. 6. p. 301 - 321

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Penalized likelihood

  Green, PJ., 1999, Encyclopaedia of Statistical Sciences. York, WN. (ed.). John Wiley & Sons, Inc, Vol. Update volume 3. p. 578 - 586

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Wavelets for regression and other statistical problems

  Silverman, BW. & Nason, GP., 1999, Smoothing and Regression: Approaches, Computation and Application,. Schimek, MG. (ed.). Wiley:New York

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1998

  Wavelet Thresholding - Relaxing the Assumptions

  Kovac, A., 1998, Proceedings in Computational Statistics. Payne, R. & Lane, P. (eds.). ACR-Rothamsted, p. 181 - 182 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1996

  Markov chain Monte Carlo in image analysis

  Green, PJ., 1996, Markov chain Monte Carlo in Practice. Gilks, W., Richardson, S. & Spiegelhalter, D. J. (eds.). Chapman and Hall, p. 381 - 399

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1995

  Choice of the threshold parameter in wavelet function estimation

  Nason, GP., 1995, Wavelets and Statistics: Lecture Notes 103. Antoniadis, A. & Oppenheim, G. (eds.). Springer Verlag, p. 261 - 280

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Overview: Monte Carlo methods

  Green, PJ., 1995, Complex stochastic systems and engineering. Titterington, D. M. (ed.). Oxford University Press, p. 183 - 190

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

• Wavelet function estimation using cross-validation

  Nason, GP., 1995, Wavelets and Statistics: Lecture Notes 103. Antoniadis, A. & Oppenheim, G. (eds.). Springer Verlag, p. 281 - 299

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1994

  Modelling data from single photon emission computed tomography

  Weir, IS. & Green, PJ., 1994, Statistics & Images. Mardia, KV. (ed.). Carfax Publishing Ltd., p. 313 - 338 25 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1992

  Metropolis methods, gaussian proposals and antithetic variables

  Green, PJ. & Han, XL., 1992, Stochastic Models, Statistical Methods & Algorithms in Image Analysis. Barone, P., Frigessi, A. & Piccioni, M. (eds.). Springer, p. 142 - 164 22 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
• 1991

  Metropolis methods, gaussian proposals and antithetic variables

  Green, PJ. & Han, XL., 1991, Stochastic Models, Statistical Methods, and Algorithms in Image Analysis. Barone, P., Frigessi, A. & Piccioni, M. (eds.). Springer, New York, NY, p. 44-66 23 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

  • Gaussian Distribution 100%
  • Antithetic Variable 100%
  • Monte Carlo Simulation 100%
  • Distributed 100%
  • Proposal Distribution 50%