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The environmental impact assessment system and the environmental plan for the preservation of the land environment are carried out with the aim of preventing damage to the environment caused by human ...
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged ...
This short paper presents a nontechnical introduction to the problem of nonequivalent microcanonical and canonical ensembles. Both the thermodynamic and the macrostate levels of definition of nonequiv...
In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using L1-penalization and post-L1-penalization methods.
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. This paper presents a mathematical theory of artificial prediction markets for supervised learn...
The linear statistical inference constitutes one of the more usual frameworks for quadratic approximation of linear map pings. Generally, the set of observations is a Euclidean space @, and the sel...
Read before you cite Many psychological tests have the socalled lie-scale. A small but sufficient number of questions that admit only one true answer, such as “Do you always reply to letters immedia...

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