New Advances in Statistics and Data Science

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....

Full description

Bibliographic Details
Other Authors: Chen, Ding-Geng (Editor), Jin, Zhezhen (Editor), Li, Gang (Editor), Li, Yi (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:ICSA Book Series in Statistics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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 Simpleand Efficient Statistical Approach for Designing an Early Phase II Clinical Trial - Ordinal Linear Contrast Test
  • Ch 12 Landmark-constrained Statistical Shape Analysis of Elastic Curves and Surfaces
  • Ch 13 Phylogeny-based kernels with Application to Microbiome Association Studies
  • Ch 14 Accounting for Differential Error in Time-to-event Analyses using Imperfect Electronic Health Record-derived Endpoints
  • Part 4 Statistical Modeling and Data Analysis
  • Ch 15 Modeling Inter-trade Durations in the Limit Order market
  • Ch 16 Assessment of Drug Interactions with Repeated Measurements
  • Ch 17 Statistical Indices for Risk Tracking in Longitudinal Studies
  • Ch 18 Statistical Analysis of Labor market Integration: A Mixture Regression Approach
  • Ch 19 Bias Correction in Age-Cohort Models Using Eigen Analysis