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Auctions, Market Mechanisms and Their Applications

Overview of attention for book
Cover of 'Auctions, Market Mechanisms and Their Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Effects of Suboptimal Bidding in Combinatorial Auctions
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    Chapter 2 Using Prediction Markets to Track Information Flows: Evidence from Google
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    Chapter 3 A Copula Function Approach to Infer Correlation in Prediction Markets
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    Chapter 4 Manipulating Scrip Systems: Sybils and Collusion
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    Chapter 5 A Centralized Auction Mechanism for the Disability and Survivors Insurance in Chile
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    Chapter 6 Information Feedback and Efficiency in Multiattribute Double Auctions
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    Chapter 7 Impact of Misalignment of Trading Agent Strategy across Multiple Markets
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    Chapter 8 Market Design for a P2P Backup System
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    Chapter 9 School Choice: The Case for the Boston Mechanism
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    Chapter 10 Turing Trade: A Hybrid of a Turing Test and a Prediction Market
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    Chapter 11 A Market-Based Approach to Multi-factory Scheduling
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    Chapter 12 Auctions with Dynamic Populations: Efficiency and Revenue Maximization
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    Chapter 13 Revenue Submodularity
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    Chapter 14 Fair Package Assignment
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    Chapter 15 Solving Winner Determination Problems for Auctions with Economies of Scope and Scale
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    Chapter 16 Running Out of Numbers: Scarcity of IP Addresses and What to Do about It
Attention for Chapter 1: Effects of Suboptimal Bidding in Combinatorial Auctions
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Citations

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Chapter title
Effects of Suboptimal Bidding in Combinatorial Auctions
Chapter number 1
Book title
Auctions, Market Mechanisms and Their Applications
Published in
ADS, May 2009
DOI 10.1007/978-3-642-03821-1_1
Book ISBNs
978-3-64-203820-4, 978-3-64-203821-1
Authors

Stefan Schneider, Pasha Shabalin, Martin Bichler, Schneider, Stefan, Shabalin, Pasha, Bichler, Martin

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Unknown 1 100%

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