IDEAS home Printed from https://ideas.repec.org/f/pso206.html
   My authors  Follow this author

Annamaria Sorato

Personal Details

First Name:Annamaria
Middle Name:
Last Name:Sorato
Suffix:
RePEc Short-ID:pso206
http://www.dma.unive.it/~amsorato/

Affiliation

Dipartimento di Management
Università Ca' Foscari Venezia

Venezia, Italy
http://www.unive.it/management
RePEc:edi:mdvenit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Andrea Ellero & Giovanni Fasano & Annamaria Sorato, 2008. "A Modified Galam's Model," Working Papers 180, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  2. Annamaria Sorato & Bruno Viscolani, 2008. "Modelling smoothly the joint effect of several advertising media on sales in a homogeneous market," Working Papers 176, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  3. Marco LiCalzi & Annamaria Sorato, 2003. "The Pearson system of utility functions," Game Theory and Information 0311002, University Library of Munich, Germany.

Articles

  1. LiCalzi, Marco & Sorato, Annamaria, 2006. "The Pearson system of utility functions," European Journal of Operational Research, Elsevier, vol. 172(2), pages 560-573, July.

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.

Working papers

  1. Andrea Ellero & Giovanni Fasano & Annamaria Sorato, 2008. "A Modified Galam's Model," Working Papers 180, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Han, Shuo & Zhuang, Fuzhen & He, Qing & Shi, Zhongzhi & Ao, Xiang, 2014. "Energy model for rumor propagation on social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 99-109.
    2. Tian, Ru-Ya & Zhang, Xue-Fu & Liu, Yi-Jun, 2015. "SSIC model: A multi-layer model for intervention of online rumors spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 181-191.

  2. Marco LiCalzi & Annamaria Sorato, 2003. "The Pearson system of utility functions," Game Theory and Information 0311002, University Library of Munich, Germany.

    Cited by:

    1. Denis Conniffe, 2007. "The Generalised Extreme Value Distribution as Utility Function," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 275-288.
    2. Fausto Corradin & Domenico Sartore, 2020. "Risk Aversion: Differential Conditions for the Iso-Utility Curves with Positive Slope in Transformed Two-Parameter Distributions," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 142-217, September.
    3. Chang, Ching-Ter, 2011. "Multi-choice goal programming with utility functions," European Journal of Operational Research, Elsevier, vol. 215(2), pages 439-445, December.
    4. Jack Meyer, 2010. "Representing risk preferences in expected utility based decision models," Annals of Operations Research, Springer, vol. 176(1), pages 179-190, April.
    5. Abbas, Ali E., 2007. "Moments of utility functions and their applications," European Journal of Operational Research, Elsevier, vol. 180(1), pages 378-395, July.
    6. Brett Houlding & Frank P. A. Coolen & Donnacha Bolger, 2015. "A Conjugate Class of Utility Functions for Sequential Decision Problems," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1611-1622, September.
    7. Joost M.E. Pennings & Philip Garcia, 2009. "The informational content of the shape of utility functions: financial strategic behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 83-90.
    8. Taras Bodnar & Dmytro Ivasiuk & Nestor Parolya & Wolfgang Schmid, 2023. "Multi-period power utility optimization under stock return predictability," Computational Management Science, Springer, vol. 20(1), pages 1-27, December.
    9. Zhengwei Sun & Ali E. Abbas, 2014. "On the sensitivity of the value of information to risk aversion in two-action decision problems," Environment Systems and Decisions, Springer, vol. 34(1), pages 24-37, March.

Articles

  1. LiCalzi, Marco & Sorato, Annamaria, 2006. "The Pearson system of utility functions," European Journal of Operational Research, Elsevier, vol. 172(2), pages 560-573, July.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2008-12-01
  2. NEP-COM: Industrial Competition (1) 2008-12-01
  3. NEP-CUL: Cultural Economics (1) 2008-12-01
  4. NEP-MIC: Microeconomics (1) 2008-12-01
  5. NEP-MKT: Marketing (1) 2008-12-01

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, Annamaria Sorato 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.