Handbook of Statistics - Principles and Methods for Data Science
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Machine learning algorithms, applications, and practices in data science

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2020.01.002 ◽

2020 ◽

pp. 81-206

Author(s):

Kalidas Yeturu

Keyword(s):

Machine Learning ◽

Data Science ◽

Learning Algorithms ◽

Machine Learning Algorithms

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Human life expectancy is computed from an incomplete sets of data: Modeling and analysis

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2020.02.001 ◽

2020 ◽

pp. 379-389

Author(s):

Arni S.R. Srinivasa Rao ◽

James R. Carey

Keyword(s):

Life Expectancy ◽

Human Life ◽

Data Modeling ◽

Modeling And Analysis

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Analysis of microarray gene expression data using information theory and stochastic algorithm

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2020.02.002 ◽

2020 ◽

pp. 349-378

Author(s):

Narayan Behera

Keyword(s):

Gene Expression ◽

Information Theory ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Stochastic Algorithm ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Series Page

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/s0169-7161(20)30029-8 ◽

2020 ◽

pp. ii

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Competing risks: Aims and methods

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2019.11.001 ◽

2020 ◽

pp. 249-287

Author(s):

Ronald B. Geskus

Keyword(s):

Competing Risks

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An information and statistical analysis pipeline for microbial metagenomic sequencing data

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2020.01.001 ◽

2020 ◽

pp. 67-80

Author(s):

Shinji Nakaoka ◽

Keisuke H. Ota

Keyword(s):

Statistical Analysis ◽

Metagenomic Sequencing ◽

Sequencing Data ◽

Analysis Pipeline

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Copyright

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/s0169-7161(20)30031-6 ◽

2020 ◽

pp. iv

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Preface

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/s0169-7161(20)30034-1 ◽

2020 ◽

pp. xv-xvii

Author(s):

Arni S.R. Srinivasa Rao ◽

C.R. Rao

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Bayesian model selection for high-dimensional data

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2019.08.001 ◽

2020 ◽

pp. 207-248

Author(s):

Naveen Naidu Narisetty

Keyword(s):

Model Selection ◽

Bayesian Model ◽

High Dimensional Data ◽

Bayesian Model Selection ◽

High Dimensional ◽

Selection For

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Big data challenges in genomics

Handbook of Statistics - Principles and Methods for Data Science ◽

10.1016/bs.host.2019.08.002 ◽

2020 ◽

pp. 337-348

Author(s):

Hongyan Xu

Keyword(s):

Big Data

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Handbook of Statistics - Principles and Methods for Data ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Machine learning algorithms, applications, and practices in data science

Human life expectancy is computed from an incomplete sets of data: Modeling and analysis

Analysis of microarray gene expression data using information theory and stochastic algorithm

Series Page

Competing risks: Aims and methods

An information and statistical analysis pipeline for microbial metagenomic sequencing data

Copyright

Preface

Bayesian model selection for high-dimensional data

Big data challenges in genomics

Handbook of Statistics - Principles and Methods for Data Science
Latest Publications