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Provides a discussion of the adjustment of risk references and how to go about making such adjustments to a common scale. By adjusting all information to this common scale, results can be easily summarized and compared, and the body of information concerning risk aversion can be examined as a whole rather than as individual parts.

Surveys the emerging area of algorithms for processing data streams and associated applications. An extensive bibliography with over 200 entries points the reader to further resources for exploration.

Reviews the literature that studies the relationship between liquidity and asset prices. The authors review the theoretical literature that predicts how liquidity affects a security's required return and discuss the empirical connection between the two.

Investigates two sets of assumptions about the nature of opportunities, the nature of entrepreneurs, and the nature of the decision making context within which entrepreneurs operate. This book suggests that these two sets of assumptions constitute logically consistent theories of entrepreneurship.

Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background.

Offers an introductory, non-technical overview of what economics adds to our understanding of entrepreneurship. The author identifies issues that can be resolved using economic analysis, and presents the theoretical and empirical models that form the intellectual foundations of the economics of entrepreneurship.