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Short, authoritative, hands-on introductions to topics in predictive analytics for working professionals seeking to upgrade or refresh their skills; students and instructors in business and analytics programs, including standard graduate and undergraduate programs, executive education programs, and certificate programs, both online and in person; and researchers and academics in data-rich disciplines. The primary audience is in business/management, health care, or public policy.

  • Coordinating editors: Joseph Hilbe, Arizona State University
  • Editorial Boards: Peter Bruce, Statistics.com, Gary Miner, StatSoft, Robert Nisbet, Aviana Global, Brea, CA, Stephen Powell, Tuck School of Business, Dartmouth College, Eric Siegel, Prediction Impact