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Random Variables and Random Processes

2020
Show that the magnitude of the correlation coefficient \(|\rho |\) is always less than or equal to unity.
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Variable selection using Mean Decrease Accuracy and Mean Decrease Gini based on Random Forest

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), 2016
Hong Han, Xiaoling Guo, Hua Yu
semanticscholar   +1 more source

Variables, in Particular Random Variables

2005
We argue that the concept of a variable as classically understood in mathematics and physics is didactically and scientifically inadequate for the needs of probability and statistics and we propose an alternative concept. A revision should have political implications for the relation between mathematical and statistical teaching.
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Random forest for ordinal responses: Prediction and variable selection

Computational Statistics & Data Analysis, 2016
Silke Janitza, G. Tutz, A. Boulesteix
semanticscholar   +1 more source

Random Variables

2009
In this chapter a connection between measure theory and the basic notion of probability theory - a random variable - is established. In fact, random variables are the functions from the probability space to some other measurable space. The definition of a random variable as a measurable function is presented. Several simple examples of random variables
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Random Variables and Random Vectors

2003
It often happens that we do not really care about the outcome of an experiment itself, but rather we are interested in some consequence of this outcome. For instance, a gambler is not primarily interested in the question whether or not heads comes up, but instead in the financial consequences of such an outcome.
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Random Variables

2020
Emmanuel N. Barron, John G. Del Greco
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