Presenting new developments in wavelet theory, this volume includes enough of the mathematics behind wavelets to enable applied statisticians and other users of statistics to understand and apply these methods to their own data. All the key elements of wavelets are brought out through examples, and various fundamental problems in statistics (nonparamtric regression, density estimation, etc) are discussed, with examples of how wavelets can be applied to this situation.