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Titlebook: Model-Free Prediction and Regression; A Transformation-Bas Dimitris N. Politis Book 2015 The Author 2015 Independent and identically distri

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書目名稱Model-Free Prediction and Regression
副標題A Transformation-Bas
編輯Dimitris N. Politis
視頻videohttp://file.papertrans.cn/636/635912/635912.mp4
概述Develops the model-free prediction principle.Goes beyond fitting models toward direct prediction.Treats applications in regression and autoregression in detail
叢書名稱Frontiers in Probability and the Statistical Sciences
圖書封面Titlebook: Model-Free Prediction and Regression; A Transformation-Bas Dimitris N. Politis Book 2015 The Author 2015 Independent and identically distri
描述.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 Bootstrap takes us beyond point prediction in order to construct frequentist prediction intervals without resort to unrealistic assumptions such as normality..Prediction has been traditionally approached via a model-based?paradigm, i.e., (a) fit a model to the data at hand, and (b) use the fitted model to extrapolate/predict future data. Due to both mathematical and computational constraints, 20th century statistical practice focused mostly on parametric models. Fortunately, with the advent of widely accessible powerful computing in the late 1970s, computer-intensive methods such as the bootstrap and cross-validation freed practitioners from the limitations of parametric models, and paved the way towards the `big data‘ era
出版日期Book 2015
關(guān)鍵詞Independent and identically distributed; Markov processes; Modeling; Prediction; Regression; Statistical
版次1
doihttps://doi.org/10.1007/978-3-319-21347-7
isbn_softcover978-3-319-35249-7
isbn_ebook978-3-319-21347-7Series ISSN 2624-9987 Series E-ISSN 2624-9995
issn_series 2624-9987
copyrightThe Author 2015
The information of publication is updating

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Frontiers in Probability and the Statistical Scienceshttp://image.papertrans.cn/m/image/635912.jpg
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Book 2015asier 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. Furthermor
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Phantom Pain: The Role of Maladaptive Plasticity and Emotional and Cognitive Variablesrelated emotional and cognitive factors must be differentiated. An integration of the described physiological changes with the psychological variables is still missing. We propose a model that integrates psychological and physiological variables in phantom limb pain and discuss implications for both pain assessment and treatment.
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hland. Handelt es sich dabei um eine ernsthafte Bedrohung der bundesdeutschen Gesellschaft ? Diese Frage wird auch unter Experten lebhaft diskutiert. Das Meinungsspektrum zu dieser Thematik reicht von beruhigenden ?u?erungen (z. B. "Auch früher haben Jugendliche unterein- ander gerauft; man reagiert
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