Modeling Online Auctions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Online Auctions write by Wolfgang Jank. This book was released on 2010-12-01. Modeling Online Auctions available in PDF, EPUB and Kindle. Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. 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. Visit this book's companion website by clicking here
Exploring and Modeling Online Auctions Using Functional Data Analysis
Exploring and Modeling Online Auctions Using Functional Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Exploring and Modeling Online Auctions Using Functional Data Analysis write by Shanshan Wang. This book was released on 2007. Exploring and Modeling Online Auctions Using Functional Data Analysis available in PDF, EPUB and Kindle.
Representing, Visualizing, and Modeling Online Auction Data
Representing, Visualizing, and Modeling Online Auction Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Representing, Visualizing, and Modeling Online Auction Data write by Valerie Hyde. This book was released on 2007. Representing, Visualizing, and Modeling Online Auction Data available in PDF, EPUB and Kindle.
Modeling Bid Arrivals in Online Auctions
Modeling Bid Arrivals in Online Auctions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Bid Arrivals in Online Auctions write by Galit Shmueli. This book was released on 2011. Modeling Bid Arrivals in Online Auctions available in PDF, EPUB and Kindle. We introduce a new family of non-homogeneous Poisson processes (NHPP) that are useful for modeling pure and contaminated self-similar processes which describe arrivals within a finite time period. Our motivation comes from the bid arrival process in online auctions.Modeling bid arrivals in online auctions is challenging since bidding dynamics change over the course of the auction. While the start of the auction typically sees an unusual amount of early bidding which is followed by a period of little activity, the auction end typically experiences an enormous amount of last minute bidding, also known as sniping. This observed heterogeneity in bidding dynamics commands a very flexible class of models. We address these modeling challenges by proposing a class of 3-stage non-homogenous Poisson processes. We investigate the probabilistic and statistical properties of these models and illustrate their usefulness for fitting and interpreting real data from eBay.com.
Modeling Concurrency of Events in Online Auctions Via Spatio-Temporal Semiparametric Models
Modeling Concurrency of Events in Online Auctions Via Spatio-Temporal Semiparametric Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Concurrency of Events in Online Auctions Via Spatio-Temporal Semiparametric Models write by Wolfgang Jank. This book was released on 2011. Modeling Concurrency of Events in Online Auctions Via Spatio-Temporal Semiparametric Models available in PDF, EPUB and Kindle. We introduce a semiparametric approach for modeling the effect of concurrent events on an outcome of interest. Concurrency manifests itself as temporal and spatial dependencies. By temporal dependency we mean the effect of an event in the past. Modeling this effect is challenging since events arrive at irregularly spaced time intervals and thus the standard definition of time-lags does not apply. Our concurrency model also takes spatial effects into account. We interpret the meaning of "space" in a slightly non-traditional way in order to conceptualize the more abstract notion of space among a set of item-features. We motivate our model in the context of eBay's online auctions. In particular, we model the effect of concurrent auctions on an auction's price. Our concurrency model consists of three components: a transaction-related component that accounts for auction-design and bidding-competition, a spatial component that takes into account similarity among item-features, and a temporal component that accounts for events in the past. To construct each of these model components, we borrow ideas from spatial modeling and from the mixed model methodology. We also develop a new time-lag metric to handle unevenly-spaced time series by interpreting a time-lag as the information distributed over a certain time-window in the past and by incorporating this information via inclusion of appropriate summary measures. We illustrate the power of this model by applying it to a large and diverse set of laptop auctions crawled off 1 eBay.com. We show that our model results in superior predictive performance compared to a set of competitor models. Our model also allows for new insight into the factors that drive price in eBay's online auctions and their relationship to bidding-competition, auction-design, product-variety and temporal learning effects.
