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Principles and Methods for Data Science: Volume 43
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Principles and Methods for Data Science: Volume 43 Hardback - 2020

by Arni S. Srinivasa Rao (Volume Editor); C. R. Rao (Volume Editor)

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Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more.

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  • Title Principles and Methods for Data Science: Volume 43
  • Author Arni S. Srinivasa Rao (Volume Editor); C. R. Rao (Volume Editor)
  • Binding Hardback
  • Pages 496
  • Volumes 1
  • Language ENG
  • Publisher North-Holland
  • Publication date 2020-05-27
  • ISBN 9780444642110 / 0444642110
  • Weight 1.83 lbs (0.83 kg)
  • Dimensions 9 x 6 x 1.06 in (22.86 x 15.24 x 2.69 cm)
  • Category Mathematics

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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)
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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)

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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)
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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)

by Srinivasa Rao, Arni S.R

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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)

by Arni S.R. Srinivasa Rao

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