Random variables.
概要
作品: | 76 作品在 14 項出版品 14 種語言 |
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書目資訊
Almost sure invariance principles for partial sums of weakly dependent random variables /
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Probability and conditional expectation : = fundamentals for the empirical sciences /
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Limit distributions for sums of independent random vectors : = heavy tails in theory and practice /
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Distribution theory of runs and patterns and its application : = a finite Markov chain imbedding approach /
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Probability, random variables, statistics, and random processes : = fundamentals & applications /
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Predicting Undergraduate Student Dropout Using Artificial Intelligence, Big Data and Machine Learning.
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Optimizing for Mental Representations in the Evolution of Artificial Cognitive Systems.
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Traffic Fatality Rate Prediction Based on Deep Neural Network and Bayesian Neural Network.
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Nearest Neighbor Methods with Applications in Functional Estimation and Machine Learning.
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