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Better Languages for Statistics: foundations for non-parametric probabilistic programming

Project information

Grant agreement ID: 864202

Status

Grant agreement signed

  • Start date

    1 October 2020

  • End date

    30 September 2025

Funded under:

H2020-EU.1.1.

  • Overall budget:

    € 1 931 178

  • EU contribution

    € 1 931 178

Hosted by:

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

Project description

English EN

For new, easier probabilistic programming languages

Today’s scientists benefit from the accessibility of various databases. But analysis requires new methods in probabilities reasoning and more precise tools. Probabilistic programming learns from methods of programming languages to apply them in designing and using a special programming language for statistical models. It’s used in Bayesian statistics modelling, mainly for a complex, non-parametric sample space, in which the statistical model can be explained in a precise way, but separately from inference algorithms mostly limited in scope. The EU-funded BLaSt project aims at research that will allow creating a semantic base for new probabilistic programming languages and, especially, for a programming language explaining precisely the non-parametric aspects in the symmetries that emerge.

Host institution

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

Address

Wellington Square University Offices
Ox1 2jd Oxford

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 931 178

Beneficiaries (1)

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 1 931 178

Project information

Grant agreement ID: 864202

Status

Grant agreement signed

  • Start date

    1 October 2020

  • End date

    30 September 2025

Funded under:

H2020-EU.1.1.

  • Overall budget:

    € 1 931 178

  • EU contribution

    € 1 931 178

Hosted by:

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom