The k Nearest Neighb or (kNN) density estimator first for-malized by Loftsgaarden and Quesenb erry (1965) is central to a broad range of the literature on density estimation. It is knownto b e strongly uniformly consistent if k increases appropriatelywith the sample size. The contribution of...

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. Again a connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve the...

Individual welfare is most naturally measured in terms of individual utility but this has the well-known disadvantage that utility levels of different consumers cannot be meaningfully compared. This difficulty is traditionally avoided by using various willingness-to-pay measures, such as...