High dimensional model selection with SLOPE - theoretical properties and applications

2016/23/B/ST1/00454

Keywords

Descriptors

  • ST1_13: Rachunek prawdopodobieństwa i statystyka matematyczna
  • ST1_18: Zastosowania matematyki w innych naukach

Panel

ST1 – Mathematics: all areas of mathematics, pure and applied, as well as mathematical foundations of computer science, physics and statistics

Host institution

Uniwersytet Wrocławski, Wydział Matematyki i Informatyki

Voivodeship: dolnośląskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr hab. Małgorzata Bogdan

Number of co-investigators in the project: 4

Call

OPUS 12 – announced on 2016-09-15

Amount awarded
542 150 PLN
Project start date
2017-07-18
Project end date
2020-09-17
Project duration
38 months (the same as in the proposal)
Project status
Project settled

Project description

Download the project description in a pdf file

Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer stacjonarny o dużej szybkości, objętości RAM mocy obliczeniowej. Cost: 5 000 PLN
  2. Laptop. Cost: 10 000 PLN

Information in the final report

Publication in academic press/journals (4)

  1. On the asymptotic properties of SLOPE

    Authors:
    M.Kos and M. Bogdan
    Academic press:
    Sankhya Ser.A (year: 2020, volume: 82, pages: 499-532), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s13171-020-00212-5 – link to the publication
  2. Rank-based Lasso - efficient methods for high-dimensional robust model selection

    Authors:
    W. Rejchel, M. Bogdan
    Academic press:
    Journal of Machine Learning Research (year: 2020, volume: 21, pages: 17168), Publisher: Microtome Publishing
    Status:
    Published
  3. Ghost QTL and Hotspots in Experimental Crosses - Novel Approach for Modeling Polygenic Effects

    Authors:
    J. Wallin, M. Bogdan, P. A. Szulc, R.W. Doerge, D.O. Siegmund
    Academic press:
    Genetics (year: 2021, volume: brak, pages: brak, wczesna publikacja online), Publisher: Genetics Society of America
    Status:
    Published
    DOI:
    10.1093/genetics/iyaa041 – link to the publication
  4. Sparse Portfolio Selection via the sorted L1 - Norm

    Authors:
    P. Kremer, S. Lee, M. Bogdan, S. Paterlini
    Academic press:
    Journal of Banking and Finance (year: 2020, volume: 110, pages: 105687), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jbankfin.2019.105687 – link to the publication

Articles in post-conference publications (1)

  1. The strong screening rule for slope.

    Authors:
    J. Larsson, M. Bogdan, J. Wallin
    Conference:
    Advances in Neural Information Processing Systems (NeurIPS 2020) (year: 2020, pages: 14592--14603), Publisher: Curran Associates, Inc
    Date:
    conference 6.12.2020-12.12.2020
    Status:
    Published

Book publications / chapters in book publications (1)

  1. Identifying important predictors in large data bases - multiple testing and model selection

    Authors:
    F.Frommlet, M.Bogdan
    Book:
    Handbook of Multiple Comparisons, Publisher: Chapman & Hall/CRC
    Status:
    Accepted for publication

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