New Advances in Statistics and Data Science. 1st ed. 2017

種類:

電子ブック

責任表示:

edited by Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, Aiyi Liu, Yichuan Zhao

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

Chen, Ding-Geng.

Jin, Zhezhen.

Li, Gang.

Li, Yi.

Liu, Aiyi.

Zhao, Yichuan.

SpringerLink (Online service)

続きを見る

シリーズ名:

ICSA Book Series in Statistics ;

ISBN:

9783319694160 [3319694162]    

注記:

Part 1 Review and Theoretical Framework in Data Science -- Ch 1 Statistical Distances and Their Role in Robustness -- Ch 2 The Out-source Error in Multi-source Cross Validation-type Procedures -- Ch 3 -- Meta-Analysis for Rare Events as Binary Outcomes -- Ch 4 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling -- Ch 5 Testing of Multivariate Spline Growth Model -- Part 2 Complex and Big Data Analysis -- Ch 6 Uncertainty Quantification Using the Neighbor Gaussian Process -- Ch 7 Tuning Parameter Selection in the LASSO with Unspecified Propensity -- Adaptive Filtering Increases Power to Detect Differently Expressed Genes -- Ch 9 Estimating Parameters in Complex Systems with Functional Outputs - A Wavelet-based Approximate Bayesian Computation Approach -- Ch 10 A maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-free DNA from Blood -- Part 3 Clinical Trials, Statistical Shape Analysis and Application -- Ch 11 A Simple and Effic
This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency, Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting  further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statis

ローカル注記:

学内専用E-BOOKS (local access only)