Information theoretic solutions for correlated bivariate processes
作者： Wendy K. Tam Cho , George G. Judge
DOI: 10.1016/J.ECONLET.2007.03.020
关键词: Data information 、 Inverse problem 、 Range (mathematics) 、 Data point 、 Mathematics 、 Information recovery 、 Theoretical computer science 、 Principle of maximum entropy 、 Bivariate analysis 、 Context (language use) 、 Mathematical optimization
摘要: Abstract In a bivariate context, we consider ill-posed inverse problems with incomplete theoretical and data information. We demonstrate the use of information theoretic methods for recovery range under-identified choice more unknowns than points.
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