Computer intensive methods in applied statistical modelling

Project Information

Grant agreement ID: HPMT-CT-2001-00344

Project closed

Start date 1 February 2002

End date 31 January 2006

Funded under

• Programme for research, technological development and demonstration on "Improving the human research potential and the socio-economic knowledge base" (1998-2002)

Total cost € 211 200,00

EU contribution € 211 200,00

Coordinated by

UNIVERSITY OF LANCASTER
United Kingdom

Objective

Department of Mathematics and Statistics Lancaster University, UK Visiting Doctoral Studentships in Computer Intensive Methods in Applied Statistical Modeling funded through the EC Marie Curie Training Site Human Potential Programme Applications are invited from doctoral students at Member or Associate Member states who wish to spend between 3 and 12 months studying either theory or application of computationally intensive statistical methods within a leading research group with an outstanding record for its research at the interface between statistical methodology and applications. Supervision can be provided in algorithm development and theoretical properties, complex statistical model development and the application of advanced statistical methods in addressing important scientific questions in collaboration with subject specialists. The statistics group at Lancaster has expertise in a wide variety of statistical methodologies, including extreme value techniques, graphical modeling, longitudinal data analysis, Markov chain Monte Carlo methods, survival and event history analysis, spatial statistics and time series analysis. Current application areas include environmental and ecological, financial, medical and industrial research. The group has wide experience of working with international doctoral students. There are a large number of young and active researchers and a vibrant collaborative working atmosphere.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.

• natural sciences › computer and information sciences › data science
• humanities › history and archaeology › history
• natural sciences › mathematics › applied mathematics › statistics and probability

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Programme(s)

• FP5-HUMAN POTENTIAL - Programme for research, technological development and demonstration on "Improving the human research potential and the socio-economic knowledge base" (1998-2002)

Topic(s)

Data not available

Call for proposal

Data not available

Funding Scheme

BUR - Bursaries, grants, fellowships

Coordinator

UNIVERSITY OF LANCASTER

• EU contribution: No data
• Address: Fylde Colledge ; La1 4 YW LANCASTER ; United Kingdom
• Total cost: No data