Prof Paul Blackwell


Position: Professor
Home page: http://www.paul-blackwell.staff.shef.ac.uk/index.html
Email:
Telephone: (0114) 2223719
Office: I7 Hicks building
Photo of Paul Blackwell

Teaching:

MAS115 Mathematical Investigation Skills Information Home page
MAS281 Probability and Statistics in Society Information uses MOLE
MAS371 Applied Probability Information uses MOLE
MAS6071 Applied Probability Information  


Research:


Interests: Bayesian statistics; inference for random processes; statistical ecology; environmental and archaeological applications
Research groups: Statistics, Mathematical Biology
Publications: Preprint page, MathSciNet

Grants

Current grants, as Coinvestigator
Marine Ecosystems Research Programme Wp3 Topic 2
NERC
Marine Ecosystems Research Programme
NERC
Past grants, as Principal Investigator
Daphne Jackson Fellowship
DJ
Statistical Support for BAS Palaeoclimate Studies BAS
Ice Core Annual Layer Counting
BAS
Past grants, as Coinvestigator
National Centre for Statistical Ecology - beyond 2010
EPSRC
The future of the past: A robust framework for the upgrade and development of the international radiocarbon calibration/comparison curves (IntCal) NERC
Out of Asia / A New Framework for Dating the Spread of Agriculture in Europe NERC
A generic model of aquatic remote sensing and the incorporation of ecological scenarios using Bayesian statistics NERC
The future of the past: A robust framework for the upgrade and development of the international radiocarbon calibration/comparison curves
NERC
Inferring long-term community dynamics from spatial patch mosaics NERC
Inferring long-term community dynamics from spatial patch mosaics NERC

Biography:

Prof Blackwell graduated with a BSc in Mathematics from Warwick University (1984). He has worked on forest growth models in the Statistics and Computing Department of the Forestry Commission Research Branch, and he obtained a PhD (1990) from Nottingham University. His main research interests are in Bayesian statistics, inference for stochastic processes, statistical ecology, and other applications including environmental statistics.

Research interests:

I mainly work in Bayesian statistics; I am interested in the development of new models and methodology, particularly inference for random processes, driven by real applications which are primarily in ecology but also in environmental science, archaeology and other areas. I am also interested in stochastic modelling, statistics and simulation more generally, again often with ecological and environmental applications.