All Stories

  1. Tree-based methods for clustering time series using domain-relevant attributes
  2. From Quality to Information Quality in Official Statistics
  3. Information Quality
  4. One-Way Mirrors in Online Dating: A Randomized Field Experiment
  5. The elephant in the room: Predictive performance of PLS models
  6. Bridging the Gap: A Generalized Stochastic Process for Count Data
  7. Rejoinder
  8. Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues
  9. guidelines to authors and reviewers for achieving information quality
  10. Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research
  11. Clarifying the terminology that describes scientific reproducibility
  12. Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models
  13. A special issue on: Actual impact and future perspectives on stochastic modelling in business and industry
  14. Models for Bid Arrivals and Bidder Arrivals in Online Auctions
  15. Research Commentary—Too Big to Fail: Large Samples and thep-Value Problem
  16. Data Dispersion: Now You See It… Now You Don't
  17. Wavelet-Based Monitoring for Biosurveillance
  18. Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance
  19. Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores
  20. On information quality
  21. Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications
  22. Maximizing bidder surplus in simultaneous online art auctions via dynamic forecasting
  23. The COM-Poisson model for count data: a survey of methods and applications
  24. On generating multivariate Poisson data in management science applications
  25. Models for Bid Arrivals and Bidder Arrivals in Online Auctions
  26. Simulating and Evaluating Biosurveillance Datasets
  27. Algorithm Combination for Improved Performance in Biosurveillance
  28. To Explain or to Predict?
  29. A flexible model for estimating price dynamics in on-line auctions
  30. Modeling Online Auctions
  31. A flexible regression model for count data
  32. Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
  33. Predicting Censored Count Data with COM-Poisson Regression
  34. How does improved forecasting benefit detection? An application to biosurveillance
  35. Consumer Surplus in Online Auctions
  36. Statistical Methods in e-Commerce Research
  37. Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data
  38. Modeling Price Dynamics in eBay Auctions Using Differential Equations
  39. On the relationship between forecast accuracy and detection performance: An application to biosurveillance
  40. Explaining and Forecasting Online Auction Prices and Their Dynamics Using Functional Data Analysis
  41. Modelling price paths in on-line auctions: smoothing sparse and unevenly sampled curves by using semiparametric mixed models
  42. Price formation and its dynamics in online auctions
  43. The BARISTA: A model for bid arrivals in online auctions
  44. Automated time series forecasting for biosurveillance
  45. A family of growth models for representing the price process in online auctions
  46. Modelling concurrency of events in on-line auctions via spatiotemporal semiparametric models
  47. Exploring auction databases through interactive visualization
  48. A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution
  49. Accelerating statistical research in drug safety
  50. Investigating Concurrency in Online Auctions Through Visualization
  51. Conjugate analysis of the Conway-Maxwell-Poisson distribution
  52. Functional Data Analysis in Electronic Commerce Research
  53. A Special Issue on Statistical Challenges and Opportunities in Electronic Commerce Research
  54. A Bayesian dynamics model for influenza surveillance
  55. Dynamic, real-time forecasting of online auctions via functional models
  56. The Effect of Product Assortment Changes on Customer Retention
  57. Visualizing Online Auctions
  58. Statistical issues and challenges associated with rapid detection of bio-terrorist attacks
  59. A useful distribution for fitting discrete data: revival of the Conway-Maxwell-Poisson distribution
  60. A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules
  61. Run-Length Distribution for Control Charts with Runs and Scans Rules
  62. Run-Related Probability Functions Applied to Sampling Inspection
  63. Run-Related Probability Functions Applied to Sampling Inspection
  64. Analysis and Display of Hierarchical Life-Time Data
  65. Analysis and Display of Hierarchical Life-Time Data
  66. On Information Quality
  67. From Quality to Information Quality in Official Statistics
  68. To Explain or To Predict?
  69. Transformations for Semi-Continuous Data
  70. Wavelet-Based Monitoring in Modern Biosurveillance
  71. Consumer Surplus in Online Auctions
  72. Predictive Analytics in Information Systems Research
  73. Statistical Inference with Large (eCommerce) Datasets
  74. The Challenge of Prediction in Information Systems Research
  75. Measuring Consumer Surplus on eBay: An Empirical Study
  76. Simulating Multivariate Syndromic Time Series and Outbreak Signatures
  77. Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance
  78. Modeling Bid Arrivals in Online Auctions
  79. On Generating Multivariate Poisson Data in Management Science Applications
  80. A Flexible Regression Model for Count Data
  81. Impact Assessment in Observational Studies: A Classification and Regression Tree Approach
  82. Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues
  83. Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance
  84. A Generalized Stochastic Process for Count Data
  85. Data Dispersion: Now You See it... Now You Don't
  86. Price Formation and its Dynamics in Online Auctions
  87. Profiling Price Dynamics in Online Auctions Using Curve Clustering
  88. Models of Bidder Activity Consistent with Self-Similar Bid Arrivals
  89. A Family of Growth Models for Representing the Price Process in Online Auctions
  90. Differential Equation Trees to Model Price Dynamics in Online Auctions
  91. One-Way Mirrors and Weak-Signaling in Online Dating: A Randomized Field Experiment - Online E-Companion Appendix