IDEAS home Printed from https://ideas.repec.org/e/psa18.html
   My authors  Follow this author

Marco Sandri

Personal Details

First Name:Marco
Middle Name:F.
Last Name:Sandri
Suffix:
RePEc Short-ID:psa18
[This author has chosen not to make the email address public]
http://www.msandri.it
Via San Giovanni in Monte 44E 37022 Breonio - Frazione di Fumane (Verona) Italy
Terminal Degree:1989 Facoltà di Economia; Università degli Studi di Verona (from RePEc Genealogy)

Affiliation

Dipartimento di Economia e Management
Università degli Studi di Brescia

Brescia, Italy
http://www.unibs.it/aree-disciplinari/economia
RePEc:edi:febreit (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Valentina Cavedon & Paola Zuccolotto & Marco Sandri & Maricay Manisera & Marco Bernardi & Ilaria Peluso & Chiara Milanese, 2024. "Optimizing wheelchair basketball lineups: A statistical approach to coaching strategies," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-15, May.
  2. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2023. "Spatial performance analysis in basketball with CART, random forest and extremely randomized trees," Annals of Operations Research, Springer, vol. 325(1), pages 495-519, June.
  3. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2021. "Spatial Performance Indicators and Graphs in Basketball," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 725-738, August.
  4. Marco Sandri & Paola Zuccolotto & Marica Manisera, 2020. "Markov switching modelling of shooting performance variability and teammate interactions in basketball," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1337-1356, November.
  5. Del Piccolo, Lidia & Mazzi, Maria Angela & Dunn, Graham & Sandri, Marco & Zimmermann, Christa, 2007. "Sequence analysis in multilevel models. A study on different sources of patient cues in medical consultations," Social Science & Medicine, Elsevier, vol. 65(11), pages 2357-2370, December.
  6. Sacco, Pier Luigi & Sandri, Marco, 1996. "Evolutionary selection of 'chivalrous' conventions in coordination games without common expectations," European Journal of Political Economy, Elsevier, vol. 11(4), pages 663-681, April.
    RePEc:plo:pone00:0056761 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2021. "Spatial Performance Indicators and Graphs in Basketball," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 725-738, August.

    Cited by:

    1. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2023. "Spatial performance analysis in basketball with CART, random forest and extremely randomized trees," Annals of Operations Research, Springer, vol. 325(1), pages 495-519, June.

  2. Marco Sandri & Paola Zuccolotto & Marica Manisera, 2020. "Markov switching modelling of shooting performance variability and teammate interactions in basketball," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1337-1356, November.

    Cited by:

    1. Alessandro Chessa & Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale & Alfonso Gebbia, 2023. "Complex networks for community detection of basketball players," Annals of Operations Research, Springer, vol. 325(1), pages 363-389, June.
    2. Rodolfo Metulini & Giorgio Gnecco, 2023. "Measuring players’ importance in basketball using the generalized Shapley value," Annals of Operations Research, Springer, vol. 325(1), pages 441-465, June.
    3. Timo Adam & Marius Ötting & Rouven Michels, 2024. "Markov-switching decision trees," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(2), pages 461-476, June.
    4. Seuk Wai Phoong & Seuk Yen Phoong & Shi Ling Khek, 2022. "Systematic Literature Review With Bibliometric Analysis on Markov Switching Model: Methods and Applications," SAGE Open, , vol. 12(2), pages 21582440221, April.
    5. Paola Zuccolotto & Marco Sandri & Marica Manisera, 2023. "Spatial performance analysis in basketball with CART, random forest and extremely randomized trees," Annals of Operations Research, Springer, vol. 325(1), pages 495-519, June.
    6. Manlio Migliorati & Marica Manisera & Paola Zuccolotto, 2023. "Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 271-293, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Marco F. Sandri should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.