Geoff Nicholls

Geoff Nicholls

Statistical modeling, Bayes Methods, Monte Carlo Methods.

I am an Associate Professor in Statistics at the University of Oxford and a Tutorial Fellow of St Peter’s College. I was Head of the Statistics Department at Oxford from 2012-2015.

Publications

2022

  • C. U. Carmona , G. Nicholls , Scalable Semi-Modular Inference with Variational Meta-Posteriors, Apr. 2022.
  • G. K. Nicholls , J. E. Lee , C. H. Wu , C. U. Carmona , Valid belief updates for prequentially additive loss functions arising in Semi-Modular Inference, Jan. 2022.

2021

  • S. Zafar , G. K. Nicholls , Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference, arXiv preprint arXiv:2105.00819 JRSSC (\it to appear), 2021.
  • J. E. Lee , G. K. Nicholls , Tree based credible set estimation, Statistics and Computing, vol. 31, 69, 2021.
  • R. Hu , G. K. Nicholls , D. Sejdinovic , Large Scale Tensor Regression using Kernels and Variational Inference, Machine Learning, 2021.

2020

  • H. Xing , G. K. Nicholls , J. E. Lee , Distortion estimates for approximate Bayesian inference, in Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020, vol. 124, 1208–1217.
  • C. Carmona , G. K. Nicholls , Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components, in Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, AISTATS, 2020, vol. 108, 4226–4235.
  • M. Roeling , G. K. Nicholls , Imputation of attributes in networked data using Bayesian Autocorrelation Regression Models, Social Networks, vol. 62, 24–32, 2020.
  • M. Moores , G. K. Nicholls , A. Pettitt , K. Mengersen , Scalable Bayesian inference for the inverse temperature of a hidden Potts model, Bayesian Analysis, vol. 15, 1–27, 2020.

2019

  • T. Cui , C. Fox , G. K. Nicholls , M. O’Sullivan , Using Parallel Markov Chain Monte Carlo to Quantify Uncertainties in Geothermal Reservoir Calibration, International Journal for Uncertainty Quantification, vol. 9, no. 3, 295–310, 2019.
  • J. E. Lee , G. K. Nicholls , R. Ryder , Calibration procedures for approximate Bayesian credible sets, Bayesian Analysis, vol. 14, 1245–1269, 2019.
  • H. Xing , G. K. Nicholls , J. E. Lee , Calibrated Approximate Bayesian Inference, in Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019, 6912–6920.
  • E. R. Rodrigues , G. K. Nicholls , M. H. Tarumoto , G. Tzintzun , Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data, Environmental and Ecological Statistics, vol. 26, no. 2, 2019.

2017

  • A. K. Styring , M. Charles , F. Fantone , M. M. Hald , A. McMahon , R. H. Meadow , G. K. Nicholls , A. K. Patel , M. C. Pitre , A. Smith , A. Sołtysiak , G. Stein11 , J. A. Weber , H. Weiss , A. Bogaard , Isotope evidence for agricultural extensification reveals how the world’s first cities were fed, Nature Plants, vol. 3, 2017.
  • L. J. Kelly , G. K. Nicholls , Lateral transfer in Stochastic Dollo Models, The Annals of Applied Statistics, vol. 11, 1146–1168, 2017.

2016

  • E. Matechou , G. K. Nicholls , B. Morgan , J. Collazo , J. Lyons , Bayesian analysis of Jolly-Seber type models: Incorporating heterogeneity in arrival and departure, Environmental and Ecological Statistics, vol. 23, no. 4, 531–547, 2016.

2013

  • L. Schumacher , G. K. Nicholls , A Cell-Level Mechanism of Contrast Gain Control, arXiv preprint arXiv:1310.5968, 2013.

2012

  • G. K. Nicholls , C. Fox , A. Watt , Coupled MCMC with a randomized acceptance probability, arXiv preprint arXiv:1205.6857, 2012.

2011

  • G. K. Nicholls , A. Muir Watt , Partial Order Models for Episcopal Social Status in 12th Century England, in Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain), July 5-11, 2011, 2011, 437–440.
  • R. Ryder , G. K. Nicholls , Missing data in a stochastic Dollo model for binary trait data, and its application to the dating of Proto-Indo-European, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 60, no. 1, 71–92, 2011.

2010

  • G. K. Nicholls , P. Nunn , On building and fitting a spatio-temporal change-point model for settlement and growth at Bourewa, Fiji Islands, arXiv preprint arXiv:1006.5575, 2010.

2009

  • D. Roy , G. K. Nicholls , C. Fox , Imaging convex quadrilateral inclusions in uniform conductors from electrical boundary measurements, Statistics and Computing, vol. 19, no. 1, 17–26, 2009.

2008

  • G. K. Nicholls , Horses or farmers? The tower of Babel and confidence in trees, Significance, vol. 5, no. 3, 112–117, 2008.
  • G. K. Nicholls , R. Gray , Dated ancestral trees from binary trait data and their application to the diversification of languages, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 70, no. 3, 545–566, 2008.

2005

  • Q. Atkinson , G. K. Nicholls , D. Welch , R. Gray , From words to dates: Water into wine, mathemagic or phylogenetic inference?, Transactions of the Philological Society, vol. 103, no. 2, 193–219, 2005.
  • D. Welch , G. K. Nicholls , A. Rodrigo , W. Solomon , Integrating genealogy and epidemiology: The ancestral infection and selection graph as a model for reconstructing host virus histories, Theoretical Population Biology, vol. 68, no. 1, 65–75, 2005.
  • I. McKeague , G. K. Nicholls , K. Speer , R. Herbei , Statistical inversion of South Atlantic circulation in an abyssal neutral density layer, Journal of Marine Research, vol. 63, no. 4, 683–704, 2005.

2004

  • G. Ewing , G. K. Nicholls , A. Rodrigo , Using temporally spaced sequences to simultaneously estimate migration rates, mutation rate and population sizes in measurably evolving populations, Genetics, vol. 168, no. 4, 2407–2420, 2004.
  • A. Mira , G. K. Nicholls , Bridge estimation of the probability density at a point, Statistica Sinica, vol. 14, no. 2, 603–612, 2004.

2002

  • M. Jones , G. K. Nicholls , New radiocarbon calibration software, Radiocarbon, vol. 44, no. 3, 663–674, 2002.
  • A. Drummond , G. K. Nicholls , A. Rodrigo , W. Solomon , Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data, Genetics, vol. 161, no. 3, 1307–1320, 2002.
  • S. Holdaway , P. Fanning , M. Jones , J. Shiner , D. Witter , G. K. Nicholls , Variability in the chronology of late Holocene aboriginal occupation on the arid margin of Southeastern Australia, Journal of Archaeological Science, vol. 29, no. 4, 351–363, 2002.

2001

  • G. K. Nicholls , M. Jones , Radiocarbon dating with temporal order constraints, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 50, no. 4, 503–521, 2001.
  • M. Jones , G. K. Nicholls , Reservoir offset models for radiocarbon calibration, Radiocarbon, vol. 43, no. 1, 119–124, 2001.
  • G. K. Nicholls , Spontaneous magnetization in the plane, Journal of Statistical Physics, vol. 102, no. 5-6, 1229–1251, 2001.

2000

  • C. Fox , G. K. Nicholls , M. Palm , Efficient solution of boundary-value problems for image reconstruction via sampling, Journal of Electronic Imaging, vol. 9, no. 3, 251–259, 2000.

1999

  • C. Fox , M. Palm , G. K. Nicholls , Efficient, exact PDE solutions for MCMC, in Proceedings of SPIE - The International Society for Optical Engineering, 1999, vol. 3816, 23–30.

1998

  • G. K. Nicholls , Bayesian image analysis with Markov chain Monte Carlo and coloured continuum triangulation models, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 60, no. 3, 643–659, 1998.
  • C. Fox , G. K. Nicholls , Physically based likelihood for ultrasound imaging, in Proceedings of SPIE - The International Society for Optical Engineering, 1998, vol. 3459, 92–99.
  • G. K. Nicholls , C. Fox , Prior modeling and posterior sampling in impedance imaging, in Proceedings of SPIE - The International Society for Optical Engineering, 1998, vol. 3459, 116–127.