In this fiercely ambitious study, Meredith Anne Hoy seeks to reestablish the very definitions of digital art and aesthetics in art history. She begins by problematizing the notion of digital aesthetics, tracing the nineteenth- and twentieth-century movements that sought to break art down into its constituent elements, which in many ways predicted and paved the way for our acceptance of digital art. Through a series of case studies, Hoy questions the separation between analog and digital art and finds that while there may be sensual and experiential differences, they fall within the same technological categories. She also discusses computational art, in which the sole act of creation is the building of a self-generating algorithm. The medium isn't the message-what really matters is the degree to which the viewer can sense a creative hand in the art.
This volume studies parametric and nonparametric estimation through the observation of diffusion-type processes. The properties of maximum likelihood, Bayes, and minimum distance estimators are considered in the context of the asymptotics of low noise. It is shown that, under certain conditions relating to regularity, these estimators are consistent and asymptotically normal. Their properties in nonregular cases are also discussed. Here, nonregularity means the absence of derivatives with respect to parameters, random initial value, incorrectly specified observations, nonidentifiable models, etc. The book has seven chapters. The first presents some auxiliary results needed in the subsequent work. Chapter 2 is devoted to the asymptotic properties of estimators in standard and nonstandard situations. Chapter 3 considers expansions of the maximum likelihood estimator and the distribution function. Chapters 4 and 5 cover nonparametric estimation and the disorder problem. Chapter 6 discusses problems of parameter estimator for linear and nonlinear partially observed models. The final chapter studies the properties of a wide range of minimum distance estimators. The book concludes with a remarks section, references and index. The volume will be of interest to statisticians, researchers in probability theory and stochastic processes, systems theory and communication theory.
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