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Activity Number:
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279
- Temporal and Spatial Models in Business and Economics
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Type:
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Contributed
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Date/Time:
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Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Business and Economic Statistics Section
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Abstract #322102
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Title:
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Bagging and Boosting-Based Convexly Combined Multivariate Mixture Models: Models Better Than EM Based Mixture Models
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Author(s):
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Mian Arif Shams Adnan and Silvey Shamsi*
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Companies:
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Bowling Green State University and Ball State University
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Keywords:
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Mixture Model
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Abstract:
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Bagging and Boosting Based Convexly Combined Mixture Multivariate Probabilistic Models have been developed. These Models are more optimum than EM algorithm-based Mixture Models. Examples are cited to show the better performance of the Bagging and Boosting based mixture models over EM based mixture models. Some Bayesian properties of these mixture models are also given. Bagging and Boosting Based Convexly Combined Mixture Univariate Probabilistic Models have also been developed.
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Authors who are presenting talks have a * after their name.
