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Jank, Wolfgang - Robert H. Smith School of Business, University of Maryland at College Park
Stochastic Variants of EM: Monte Carlo, Quasi-Monte Carlo and More Wolfgang Jank
Global Convergence of Model Reference Adaptive Search for Gaussian Mixtures
Functional Forecasting of Demand Decay Rates using Online Virtual Stock Markets
Price Formation and its Dynamics in Online Auctions Ravi Bapna, Wolfgang Jank and Galit Shmueli
Modeling Dynamics in Online Auctions: A Modern Statistical Approach
A Family of Growth Models for Representing the Price Process in Online Auctions
Visualizing Online Auctions Galit Shmueli & Wolfgang Jank
Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting
Consumer Surplus in Online Auctions Ravi Bapna+
Dynamic E-Targeting using Learning Spatial Choice Wolfgang Jank and P. K. Kannan
Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice
Last update: May 21, 2006 1:16 AM School day on eBay
BMGT 881: APPLIED REGRESSION MODELS Prof. Wolfgang Jank
Implementing and Diagnosing the Stochastic Approximation EM algorithm
Submitted to the Statistical Science FUNCTIONAL DATA ANALYSIS IN ELECTRONIC COMMERCE
Dynamic Forecasting of Online Auction Prices using Functional Data Analysis
Ascent-Based Monte Carlo EM Brian S. Caffo
New Global Optimization Algorithms for Model-Based Clustering Jeffrey W. Heath
Visualizing Functional Data With an Application to eBay's Online Auctions
Efficiency of Monte Carlo EM and Simulated Maximum Likelihood in
Submitted to Management Science Research Note: A Pre-Theory Functional Approach
Term Papers by Students of the Class BMGT 808X "Applied Regression Analysis"
The BARISTA: A Model For Bid Arrivals in Online Auctions
Submitted to the Statistical Science A SPECIAL ISSUE ON STATISTICAL CHALLENGES AND
Dynamic Price Forecasting In Simultaneous Online Art Mayukh Dass1
Exploring Auction Databases through Interactive Visualization Galit Shmueli1
Quasi-Monte Carlo Sampling to improve the Efficiency of Monte Carlo EM
Online Marketing Analytics Spring 2009
Estimating Flight Departure Delay Distributions --A Statistical Approach With Long-term Trend
Consumer Surplus in Online Auctions Ravi Bapna+
STATISTICAL METHODS IN ECOMMERCE RESEARCH
FAST AND EFFICIENT MODEL-BASED CLUSTERING WITH THE ASCENT-EM ALGORITHM
Studying Heterogeneity of Price Evolution in eBay Auctions via Functional Clustering
Marketing Intelligence Spring 2009
A look back at the First Interdisciplinary Symposium on Statistical Challenges and Opportunities in eCommerce Research
Modeling Price Dynamics in eBay Auctions Using Principal Differential Analysis
Transformations for Semi-Continuous Data Galit Shmueli1,2
Efficient Simulated Maximum Likelihood with an Application to Online Retailing
Ascent EM for Fast and Global Model-Based Clustering: An Application to Curve-Clustering of Online Auctions
The EM Algorithm, Its Stochastic Implementation and Global Optimization: Some Challenges and Opportunities for OR
Computing at Denver: An overview of Stat Comp at JSM 2008 Wolfgang Jank
Smoothing Sparse and Unevenly Sampled Curves using Semiparametric Mixed Models: An Application to Online Auctions
Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data
Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration