springer prediction and causality 2024

Springer Prediction and Causality in

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Vitalsource Technologies Inc Recent Advances

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Vitalsource Technologies Inc Prediction And

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Springer Verlag New York Causality

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The Elements of Statistical Learning

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Springer Nonlinear Dynamics of the

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Springer Observations and Predictions of

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Springer Residual Life Prediction and

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Springer Verlag New York Solder

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Springer Clinical Prediction Models A

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Springer Fatigue Life Prediction in

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The Elements of Statistical Learning

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The Elements of Statistical Learning

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This book describes the important ideas in a variety of fields such as medicine biology finance and marketingnbspin a common conceptual framework While the approach is statistical the emphasis is on concepts rather than mathematics Many examples are given with a liberal use of colour graphics It isnbspa valuable resource for statisticians and anyone interested in data mining in science or industry The books coverage is broad from supervised learning prediction to unsupervised learning The many topics include neural networks support vector machines classification trees and boostingthe first comprehensive treatment of this topic in any book This major new edition features many topics not covered in the original including graphical models random forests ensemble methods least angle regression amp path algorithms for the lasso nonnegative matrix factorisation and spectral clustering There is also a chapter on methods for wide data p bigger than n including multiple testing and false discovery rates

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Gaussian and Non Linear Time

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The principal focus here is on autoregressive moving average models and analogous random fields with probabilistic and statistical questions also being discussed The book contrasts Gaussian models with noncausal or noninvertible nonminimum phase nonGaussian models and deals with problems of prediction and estimation New results for nonminimum phase nonGaussian processes are exposited and open questions are noted Intended as a text for gradutes in statistics mathematics engineering the natural sciences and economics the only recommendation is an initial background in probability theory and statistics Notes on background history and open problems are given at the end of the book

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Nonlinear Time Series Nonparametric and

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This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction the two important goals of time series analysis Such a book will benefit researchers and practitioners in various fields such as econometricians meteorologists biologists among others who wish to learn useful time series methods within a short period of time The book also intends to serve as a reference or text book for graduate students in statistics and econometrics

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Nonlinear Time Series Nonparametric and

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This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction the two important goals of time series analysis Such a book will benefit researchers and practitioners in various fields such as econometricians meteorologists biologists among others who wish to learn useful time series methods within a short period of time The book also intends to serve as a reference or text book for graduate students in statistics and econometrics

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Global Warming Myth or Reality

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This book seeks to separate fact from fiction in the globalwarming debate The author begins by describing the history of the Intergovernmental Panel on Climate Change IPCC and many other conferences and their dire predictions on global temperatures rainfall weather and climate while highlighting confusion and sensationalism media reports He then lays out the heretical scientific case of the sizable skeptical scientific community who challenge the accepted wisdom

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Global Warming Myth or Reality

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This book seeks to separate fact from fiction in the globalwarming debate The author begins by describing the history of the Intergovernmental Panel on Climate Change IPCC and many other conferences and their dire predictions on global temperatures rainfall weather and climate while highlighting confusion and sensationalism media reports He then lays out the heretical scientific case of the sizable skeptical scientific community who challenge the accepted wisdom

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