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Activity Number:
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321
- Machine Learning and Variable Selection
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Type:
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Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 3:30 PM to 5:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #318014
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Title:
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Unfolding the Instantaneous Effect of Each Probability Process in a Mixture Stochastic Process
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Author(s):
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Asif Shams Adnan* and Mian Arif Shams Adnan
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Companies:
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East West University and Bowling Green State University
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Keywords:
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Differentiation;
Integration;
Leibnitz Theorem;
Multinomial Distribution
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Abstract:
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The role of each of the probability process in a mixture stochastic process has been unfolded to demonstrate to what extent it does contribute to each partition of the total probability process and the results of which factors of each probability process are participating in that mixture stochastic process. It has been observed that it is a result of the joint effect of how steep each process is compared to the other ones and what are the effects of each of the densities over several partitions.
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Authors who are presenting talks have a * after their name.
