Explore the words cloud of the SanDAL project. It provides you a very rough idea of what is the project "SanDAL" about.
The following table provides information about the project.
Coordinator |
UNIVERSITE DU LUXEMBOURG
Organization address contact info |
Coordinator Country | Luxembourg [LU] |
Total cost | 2˙498˙500 € |
EC max contribution | 2˙498˙500 € (100%) |
Programme |
1. H2020-EU.4.c. (Establishing ‚ERA Chairs') |
Code Call | H2020-WIDESPREAD-03-2017-ERAChairs |
Funding Scheme | CSA |
Starting year | 2019 |
Duration (year-month-day) | from 2019-01-01 to 2023-12-31 |
Take a look of project's partnership.
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1 | UNIVERSITE DU LUXEMBOURG | LU (ESCH-SUR-ALZETTE) | coordinator | 2˙498˙500.00 |
SanDAL aims to create at the University of Luxembourg (UL) a high-level research group in Mathematical Statistics and Data Science (MS&DS). This will fill an identified gap between UL’s current research activity in mathematics (including probability theory but also geometry and mathematical physics), which developed well in recent years, and a number of applications of particular importance both for other academic research fields and for Luxembourg’s economic development. The ERA Chair will be offered a permanent full professorship at UL to ensure a sustainable structural change and improvement of Luxembourg’s Research and Innovation landscape. The project will also fund two postdoctoral positions for its full duration, and three PhD positions will be UL-funded. The main scientific directions of the project (to be precisely defined by the future ERA Chair Holder) will be High-Dimensional Data Analysis (including Probabilistic Aspects of High-Dimensional Data and Topological Data Analysis) and New Mathematical Tools for Contemporary Statistics (including Signal Reconstruction and the Mathematics of Sparsity, and Non-Parametric Bayesian Methods). In addition to the development of a strong and sustainable new direction of research at UL, SanDAL will permit the development of new teaching programs at MSc and PhD levels in MS&DS. It will therefore ensure a steady flow of MS&DS graduates that will be of value not only for mathematics but also for academic and non-academic research in other fields and in other economic areas. SanDAL will build on the existing expertise in mathematics (in particular probability theory, but also discrete geometry and topology) at UL. The contribution of an external Scientific Steering Committee, made of top experts in MS&DS, will be essential to its scientific success, while a National Advisory Board, made of some of the main users of MS&DS at the Luxembourg level, will ensure that it is relevant to the economy and other academic fields.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Tao Chen, Gautam Tripathi A simple consistent test of conditional symmetry in symmetrically trimmed tobit models published pages: 29-40, ISSN: 0304-4076, DOI: 10.1016/j.jeconom.2016.12.003 |
Journal of Econometrics 198/1 | 2019-02-28 |
2017 |
Francesco Andreoli Robust Inference for Inverse Stochastic Dominance published pages: 146-159, ISSN: 0735-0015, DOI: 10.1080/07350015.2015.1137758 |
Journal of Business & Economic Statistics 36/1 | 2019-02-28 |
2018 |
Martin Schumann, Gautam Tripathi Convexity of probit weights published pages: 81-85, ISSN: 0167-7152, DOI: 10.1016/j.spl.2018.07.022 |
Statistics & Probability Letters 143 | 2019-02-28 |
2017 |
Jean-Luc Marichal, Pierre Mathonet, Jorge Navarro, Christian Paroissin Joint signature of two or more systems with applications to multistate systems made up of two-state components published pages: 559-570, ISSN: 0377-2217, DOI: 10.1016/j.ejor.2017.06.022 |
European Journal of Operational Research 263/2 | 2019-02-28 |
2017 |
Christian Döbler, Giovanni Peccati Quantitative de Jong theorems in any dimension published pages: , ISSN: 1083-6489, DOI: 10.1214/16-ejp19 |
Electronic Journal of Probability 22/0 | 2019-02-28 |
2016 |
Ivan Nourdin, David Nualart, Rola Zintout Multivariate central limit theorems for averages of fractional Volterra processes and applications to parameter estimation published pages: 219-234, ISSN: 1387-0874, DOI: 10.1007/s11203-015-9125-x |
Statistical Inference for Stochastic Processes 19/2 | 2019-02-28 |
2017 |
Larry Goldstein, Ivan Nourdin, Giovanni Peccati Gaussian phase transitions and conic intrinsic volumes: Steining the Steiner formula published pages: 1-47, ISSN: 1050-5164, DOI: 10.1214/16-aap1195 |
The Annals of Applied Probability 27/1 | 2019-02-28 |
2017 |
Christian Döbler Distributional Transformations Without Orthogonality Relations published pages: 85-116, ISSN: 0894-9840, DOI: 10.1007/s10959-015-0646-4 |
Journal of Theoretical Probability 30/1 | 2019-02-28 |
2018 |
Xisong Jin, Thorsten Lehnert Large portfolio risk management and optimal portfolio allocation with dynamic elliptical copulas published pages: 19-46, ISSN: 2300-2298, DOI: 10.1515/demo-2018-0002 |
Dependence Modeling 6/1 | 2019-02-28 |
2016 |
Solesne Bourguin, Claudio Durastanti, Domenico Marinucci, Giovanni Peccati Gaussian approximation of nonlinear statistics on the sphere published pages: 1121-1148, ISSN: 0022-247X, DOI: 10.1016/j.jmaa.2015.12.036 |
Journal of Mathematical Analysis and Applications 436/2 | 2019-02-28 |
2017 |
Luc Bauwens, Jean-François Carpantier, Arnaud Dufays Autoregressive Moving Average Infinite Hidden Markov-Switching Models published pages: 162-182, ISSN: 0735-0015, DOI: 10.1080/07350015.2015.1123636 |
Journal of Business & Economic Statistics 35/2 | 2019-02-28 |
2018 |
Christian Döbler, Giovanni Peccati The Gamma Stein equation and noncentral de Jong theorems published pages: 3384-3421, ISSN: 1350-7265, DOI: 10.3150/17-bej963 |
Bernoulli 24/4B | 2019-02-28 |
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