Objective
The use of Bayesian non-parametric (BNP) priors in applied statistical modeling has become increasingly popular in the last few years. From the seminal paper of Ferguson (1973, Annals of Statistics), the Dirichlet Process and its extensions have been increasingly used to address inferential problems in many fields. Examples range from variable selection in genetics to linguistics, psychology, human learning , image segmentation and applications to neurosciences. The increased interest in non-parametric Bayesian approaches to data analysis is motivated by a number of attractive inferential properties. For example, BNP priors are often used as flexible models to describe the heterogeneity of the population of interest, as they implicitly induce a clustering of the observations into homogeneous groups.
In the big data era, there is a growing need of models that can describe the main features of large and non-trivial datasets. The information held in these kind of datasets is increasingly easily available to collect through modern networks such as the Internet. This proposal wants to provide flexible priors for explaining such datasets, in particular two research lines will be developed:
1. Non-exchangeable BNP priors for modelling the heterogeneity of the data,
2. Vectors of Dependent BNP priors for modelling information pooling across units.
The successful completion of this research will provide new powerful statistics tools for the analysis of complicated phenomena. New BNP priors will be proposed as well as the application of some recent BNP priors proposed by the principal investigator (Leisen and Lijoi, 2011 Journal of Multivariate Analysis and Leisen, Lijoi and Spanò, 2013 Electronic Journal of Statistics). Specifically, applications of such priors will be developed in the fields of Economics and Genetics.
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. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- humanities languages and literature linguistics
- natural sciences biological sciences genetics
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences data science big data
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-CIG
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
CT2 7NZ Canterbury, Kent
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.