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1. Yeung, Fiona. Statistical Revealed Preference Models for Bipartite Networks.

Degree: Statistics, 2019, UCLA

This dissertation focuses on investigating the driving factors behind the formation of connections in large two-mode networks. Assuming that network participants maximize their benefits, or "utilities", over their choices of connections, our primary research interest is to estimate a set of latent parameters that explains their "preferences" for choices of linkages. Discrete-choice models are incorporated into the proposed estimation framework to model decision-making behaviors. Most generative models for random graphs are based on the specification of a joint probability distribution over the observed pairings, with an emphasis on the structural properties of the networks. The method proposed here, however, takes into account the role of decision making and therefore offers insight into the rationale for the choices of connection. Understanding such decisions may in turn provide insights into any intervention that can induce the network connectivity into a more desirable state.The interest of this dissertation is limited to large bipartite networks in which edges occur only between nodes from different sets where the decision to form an edge is mutual. A non-transferable utility (NTU) setting is assumed and isolated nodes are allowed. The dissertation also includes an investigation of the statistical properties of one-to-many and many-to-many relationships and the specification of their statistical models. Inference for the preference parameters is then performed for the proposed statistical models, and simulations are used to evaluate their performance.

Subjects/Keywords: Statistics; Economics; bipartite networks; computational statistics; discrete choice models; econometrics; game theory; matching theory

…Application of Discrete-choice Models to Empirical Data . . . . . . . . . . . 134 C Monte Carlo… …chosen. This idea, though prevalent in discrete-choice models where information about each… …in discrete-choice models where only one decision maker is involved in each choice… …to estimating two-sided discrete-choice problem with latent choice sets that are unknown to… …proposed estimation method. We begin with an overview of discrete-choice models that are widely… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yeung, F. (2019). Statistical Revealed Preference Models for Bipartite Networks. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0fm6h8gm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yeung, Fiona. “Statistical Revealed Preference Models for Bipartite Networks.” 2019. Thesis, UCLA. Accessed November 29, 2020. http://www.escholarship.org/uc/item/0fm6h8gm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yeung, Fiona. “Statistical Revealed Preference Models for Bipartite Networks.” 2019. Web. 29 Nov 2020.

Vancouver:

Yeung F. Statistical Revealed Preference Models for Bipartite Networks. [Internet] [Thesis]. UCLA; 2019. [cited 2020 Nov 29]. Available from: http://www.escholarship.org/uc/item/0fm6h8gm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yeung F. Statistical Revealed Preference Models for Bipartite Networks. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/0fm6h8gm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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