ABSTRACT: The recent explosion of high-throughput technology has been accompanied by a corresponding rapid increase in the number of new statistical methods for developing prognostic and predictive ...
Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...
Abstract: It is of great theoretical and practical significance to study the multidimensional statistical characteristics of sea clutter at different range resolutions, such as optimizing clutter ...
High-dimensional statistical models arise when the number of candidate predictors greatly exceeds the number of observations, a setting common in genomics, neuroimaging and finance. Group variable ...
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