Research Output per year
Organization profile
Organisation profile
There is uncertainty in almost every aspect of everyday life and, despite its reputation for exactness, in the scientific world too. Statistics gives us tools to handle this uncertainty in a principled manner.
The Statistics research grouping in Bristol carries out research on many aspects of this science: methods for the analysis of data, and computational techniques for performing this analysis. The applications of this research are many and varied, ranging from the analysis of solar flares to robot navigation, from genetic research to signal processing.
Fingerprint Dive into the research topics where Statistics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Professor Christophe Andrieu
- Statistical Science
- Probability, Analysis and Dynamics
- School of Mathematics - Professor in Statistics
- Statistics
Person: Academic , Member
Dr Haeran Cho
- School of Mathematics - Senior Lecturer
- Statistical Science
- Statistics
Person: Academic , Member
Professor Peter J Green
- Statistical Science
- School of Mathematics - Professorial Research Fellow
- Cabot Institute for the Environment
- Statistics
Person: Academic , Member
Research Output
An examination of the continuous wavelet transform for volcano-seismic spectral analysis
Lapins, S., Roman, D. C., Rougier, J., De Angelis, S., Cashman, K. V. & Kendall, J. -M., 1 Jan 2020, In : Journal of Volcanology and Geothermal Research. 389, 21 p., 106728.Research output: Contribution to journal › Article (Academic Journal)
Bayesian protein sequence and structure alignment
Fallaize, C. J., Green, P. J., Mardia, K. V. & Barber, S., 8 Jan 2020, In : Journal of the Royal Statistical Society. Series C: Applied Statistics. 25 p.Research output: Contribution to journal › Article (Academic Journal)
Open Access
Bayesian spatiotemporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields
Western, L. M., Sha, Z., Rigby, M., Ganesan, A., Manning, A. J., Stanley, K. M., O'Doherty, S., Young, T. D. S. & Rougier, J., 28 Apr 2020, In : Geoscientific Model Development. 13, p. 2095–2107 13 p.Research output: Contribution to journal › Article (Academic Journal)
Open Access
File
Projects
Quantile factor modelling for high-dimensional time series
Cho, H. & Oh, H.
22/01/19 → 8/07/19
Project: Research
Quantile factor modelling for high-dimensional time series
Cho, H. & Oh, H.
3/01/19 → 31/07/19
Project: Research
Student theses
A Particle Markov Chain Monte Carlo Approach to Coalescent Inference
Author: Cannon, P. W., 6 Dec 2019Supervisor: Andrieu, C. (Supervisor) & Beaumont, M. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
File
Wavelet Thresholding for Unequally Time-Spaced Data
Author: Kovac, A., 1999Supervisor: Silverman, B. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
Prizes
Activities
Spatio-temporal decomposition of geophysical signals in North America
Aoibheann Brady (Speaker), , Jonty C Rougier (Contributor), , Bramha Dutt Vishwakarma (Contributor), , Yann Ziegler (Contributor), , Richard M Westaway (Contributor), & Jonathan L Bamber (Contributor)
8 May 2020
Activity: Talk or presentation types › Public talk, debate, discussion
Antarctic Peninsula mass trends from 2003 - 2016 using a Bayesian hierarchical model approach
Stephen J Chuter (Speaker), , Jonty C Rougier (Contributor), , Geoffrey J Dawson (Contributor), & Jonathan L Bamber (Contributor)
7 May 2020
Activity: Talk or presentation types › Public talk, debate, discussion
A global inverse solution for GIA
Maike Schumacher (Speaker), , Zhe Sha (Contributor), , Matt King (Contributor), , Jonathan Rougier (Contributor), , Shfaqat Abbas Khan (Contributor), & Jonathan Bamber (Contributor)
9 Apr 2019
Activity: Talk or presentation types › Community engagement, including convening focus/advisory groups