Objective
Consider a population of individuals belonging to different species with unknown proportions. Given an
initial (observable) random sample from the population, how do we estimate the number of species in the
population, or the probability of discovering a new species in one additional sample, or the number of
hitherto unseen species that would be observed in additional unobservable samples? These are archetypal
examples of a broad class of statistical problems referred to as species sampling problems (SSP), namely:
statistical problems in which the objects of inference are functionals involving the unknown species
proportions and/or the species frequency counts induced by observable and unobservable samples from the
population. SSPs first appeared in ecology, and their importance has grown considerably in the recent years
driven by challenging applications in a wide range of leading scientific disciplines, e.g. biosciences and
physical sciences, engineering sciences, machine learning, theoretical computer science and information
theory, etc.
The objective of this project is the introduction and a thorough investigation of new nonparametric Bayes
and empirical Bayes methods for SSPs. The proposed advances will include: i) addressing challenging
methodological open problems in classical SSPs under the nonparametric empirical Bayes framework, which
is arguably the most developed (currently most implemented by practitioners) framework do deal with
classical SSPs; fully exploiting and developing the potential of tools from mathematical analysis,
combinatorial probability and Bayesian nonparametric statistics to set forth a coherent modern approach to
classical SSPs, and then investigating the interplay between this approach and its empirical counterpart;
extending the scope of the above studies to more challenging SSPs, and classes of generalized SSPs, that
have emerged recently in the fields of biosciences and physical sciences, machine learning and information
theory.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences mathematics pure mathematics mathematical analysis
- natural sciences biological sciences ecology
- natural sciences computer and information sciences computational science
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences physical sciences
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2018-COG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
10124 TORINO
Italy
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.