1.1 Online Auctions and Electronic Commerce.
1.2 Online Auctions and Statistical Challenges.
1.3 A Statistical Approach to Online Auction Research.
1.4 The Structure of this Book.
1.5 Data and Code Availability.
2 Obtaining Online Auction Data.
2.1 Collecting Data from the Web.
2.2 Web Data Collection and Statistical Sampling.
3 Exploring Online Auction Data.
3.1 Bid Histories: Bids versus "Current Price" Values.
3.2 Integrating Bid History Data With Cross-Sectional Auction Information.
3.3 Visualizing Concurrent Auctions.
3.4 Exploring Price Evolution and Price Dynamics.
3.5 Combining Price Curves with Auction Information via Interactive Visualization.
3.6 Exploring Hierarchical Information.
3.7 Exploring Price Dynamics via Curve Clustering.
3.8 Exploring Distributional Assumptions.
3.9 Exploring Online Auctions: Future Research Directions.
4 Modeling Online Auction Data.
4.1 Modeling Basics (Representing the Price Process).
4.2 Modeling The Relation Between Price Dynamics and Auction Information.
4.3 Modeling Auction Competition.
4.4 Modeling Bid and Bidder Arrivals.
4.5 Modeling Auction Networks.
5 Forecasting Online Auctions.
5.1 Forecasting Individual Auctions.
5.2 Forecasting Competing Auctions.
5.3 Automated Bidding Decisions.
"The referred volume offers a detailed survey of methods and run of online auctions by means of detailed analysis of empirical and statistical data . . . the volume is completed by a rich bibliography and index." (Zentralblatt Math, 2010)
"Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes". (Dublin Business Wire, 27 October 2010)