Statistics has been evolving into a much wider field with High Dimensional Statistics being currently considered as one of its most important components. This particular branch of statistics has grown out of modern research activities in diverse fields of science, technology, and business aided by powerful computing. It encompasses several emerging fields in statistics like high dimensional inference, dimension reduction, data mining, machine learning, and bioinformatics. Of course, many of these and other emerging statistical fields are modernized versions of traditional statistical fields such as multivariate analysis, design of experiments, survey sampling, Bayesian analysis, time series analysis, biostatistics, and statistical computing and graphics. The importance of High Dimensional Statistics can be seen from the fact that a large proportion of research projects presently funded by federal agencies and published in top-tier statistics journals is devoted to this area of statistical research. High dimensional statistical techniques are now being integrated into courses in other disciplines to create interdisciplinary programs.
Data integrity is essential to all our schools, colleges, units and processes at Temple University.
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