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Modeling Bid Arrivals in Online Auctions
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Modeling Bid Arrivals in Online Auctions (2006)Modeling Bid Arrivals in Online AuctionsProfiling Price Dynamics in Online Auctions Using Curve Clustering (2006)Profiling Price Dynamics in O…Implications of the bidders' arrival process on the design of online auctions (2005)Implications of the bidders' …Analysis and Design of Business-to-Consumer Online Auctions (2003)Analysis and Design of Busine…Running up the Bid: Modeling Seller Opportunism in Internet Auctions (2000)Running up the Bid: Modeling …Last Minute Bidding and the Rules for Ending Second-Price Auctions: Theory and Evidence from a Natural Experiment on the Internet (2000)Last Minute Bidding and the R…Heavy tail modeling and teletraffic data: special invited paper (1997)Heavy tail modeling and telet…Heavy Tail Modelling and Teletraffic Data (1995)Heavy Tail Modelling and Tele…Long-Run Linearity, Locally Gaussian Process, H-Spectra and Infinite Variances (1969)Long-Run Linearity, Locally G…The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)The Role of Market Forces in Assuring Contractual Performance (1981)The Theory of Industrial Organization (1988)Model checking bidding behaviors in internet concurrent auctions (2007)The BARISTA: A model for bid arrivals in online auctions (2007)Reputation, Trust, and Rebates: How Online Auction Markets Can Improve Their Feedback Mechanisms (2010)A Theory of Auctions and Competitive Bidding (1982)Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior (2002)The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms (2003)Functional Data Analysis for Sparse Auction Data (2008)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)Extreme Values, Regular Variation and Point Processes (1987)Modelling of extremal events in insurance and finance (1994)A Dynamic Mixture Model for Unsupervised Tail Estimation without Threshold Selection (2002)The extremogram: A correlogram for extreme events (2009)Extreme Value Theory and Statistics of Univariate Extremes: A Review (2014)The Behavior of Stock-Market Prices (1965)Fractional Brownian Motions, Fractional Noises and Applications (1968)Computer Experiments with Fractional Gaussian Noises: Part 2, Rescaled Ranges and Spectra (1969)Computer Experiments with Fractional Gaussian Noises: Part 3, Mathematical Appendix (1969)The variation of certain speculative prices (1997)What is Fractional Integration? (1999)COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS (1961)Optimal Auction Design (1981)Reverse auctions for relationship marketers (2004)Temporary and Permanent Buyout Prices in Online Auctions (2007)Auctions and Bidding (1986)Replicating Online Yankee Auctions to Analyze Auctioneers' and Bidders' Strategies (2003)50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science (2004)Dressing Your Online Auction Business for Success: An Experiment Comparing Two eBay Businesses1 (2008)Autonomous bidding agents in the trading agent competition (2001)Precautionary Bidding in Auctions (2003)Consumer Surplus in Online Auctions (2008)Limit theory for bilinear processes with heavy-tailed noise (1996)Discussion of the Danish Data on Large Fire Insurance Losses (1997)
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References

  • 1997Heavy tail modeling and teletraffic data: special invited paper288 cited
  • 1969Long-Run Linearity, Locally Gaussian Process, H-Spectra and Infinite Variances237 cited
  • 1995Heavy Tail Modelling and Teletraffic Data186 cited
  • 2003Analysis and Design of Business-to-Consumer Online Auctions179 cited
  • 2000Last Minute Bidding and the Rules for Ending Second-Price Auctions: Theory and Evidence from a Natural Experiment on the Internet122 cited
  • 2005Implications of the bidders' arrival process on the design of online auctions78 cited
  • 2000Running up the Bid: Modeling Seller Opportunism in Internet Auctions64 cited
  • 2006Profiling Price Dynamics in Online Auctions Using Curve Clustering41 cited

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