Titlebook: Exploratory Causal Analysis with Time Series Data; James M. McCracken Book 2016 Springer Nature Switzerland AG 2016

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The Current Status of Asteroseismology,fill several volumes. As Holland says, “So much has been written about causality by philosophers that it is impossible to give an adequate coverage of the ideas that they have expressed in a short article” [16]. Physicists, economists (and econometricians), mathematicians, statisticians, computer sc

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Evaluating Natural Enemy Impact on ,of-date before it is ever printed. Most popular time series tools, however, appear to fall into one of five broad categories, Granger causality, information-theoretic causality, state space reconstruction causality, correlation causality, or penchant causality. These categories are defined by both t

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https://doi.org/10.1007/978-3-319-15123-6 a way of thinking about the data analysis) rather than the use of any specific technique. This work will focus on performing exploratory causal analysis using a report of five different time series causality tools, one from each category presented in Section 3.

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A Non-cooperative TV White Space Broadband Market Model for Rural Entrepreneurs,enges of producing an optimal pricing scheme for leasing spectrum from primary users. It proposes a game-theory based solution to the problem of several primary users competing with each other to sell spectrum to secondary users that use QoS measures of delay and throughout to regulate price.