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Model-Free Prediction and Regression: A Transformation-Based Approach to Inference (Frontiers in Probability and the Statistical Sciences)

Dimitris N. Politis




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 | #3571170 in Books |  2015-11-14 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,.0 | File type: PDF | 246 pages

||From the Back Cover||The  Model-Free  Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier  to work with, e.g., i.i.d. or Gaussian. As such, it restores the emp

The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse settings such as regression and time series. Furthermore, the Model-Free Boots...

You easily download any file type for your gadget.Model-Free Prediction and Regression: A Transformation-Based Approach to Inference (Frontiers in Probability and the Statistical Sciences)   |  Dimitris N. Politis. Which are the reasons I like to read books. Great story by a great author.

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