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New Advances in Statistics and Data Science

Overview of attention for book
Cover of 'New Advances in Statistics and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Distances and Their Role in Robustness
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    Chapter 2 The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures
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    Chapter 3 Meta-Analysis for Rare Events As Binary Outcomes
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    Chapter 4 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling
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    Chapter 5 Testing of Multivariate Spline Growth Model
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    Chapter 6 Uncertainty Quantification Using the Nearest Neighbor Gaussian Process
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    Chapter 7 Tuning Parameter Selection in the LASSO with Unspecified Propensity
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    Chapter 8 Adaptive Filtering Increases Power to Detect Differentially Expressed Genes
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    Chapter 9 Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesian Computation Approach
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    Chapter 10 A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood
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    Chapter 11 A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial: Ordinal Linear Contrast Test
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    Chapter 12 Landmark-Constrained Statistical Shape Analysis of Elastic Curves and Surfaces
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    Chapter 13 Phylogeny-Based Kernels with Application to Microbiome Association Studies
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    Chapter 14 Accounting for Differential Error in Time-to-Event Analyses Using Imperfect Electronic Health Record-Derived Endpoints
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    Chapter 15 Modeling Inter-Trade Durations in the Limit Order Market
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    Chapter 16 Assessment of Drug Interactions with Repeated Measurements
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    Chapter 17 Statistical Indices for Risk Tracking in Longitudinal Studies
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    Chapter 18 Statistical Analysis of Labor Market Integration: A Mixture Regression Approach
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    Chapter 19 Bias Correction in Age-Period-Cohort Models Using Eigen Analysis
Attention for Chapter 6: Uncertainty Quantification Using the Nearest Neighbor Gaussian Process
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Chapter title
Uncertainty Quantification Using the Nearest Neighbor Gaussian Process
Chapter number 6
Book title
New Advances in Statistics and Data Science
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-69416-0_6
Book ISBNs
978-3-31-969415-3, 978-3-31-969416-0
Authors

Hongxiang Shi, Emily L. Kang, Bledar A. Konomi, Kumar Vemaganti, Sandeep Madireddy, Shi, Hongxiang, Kang, Emily L., Konomi, Bledar A., Vemaganti, Kumar, Madireddy, Sandeep

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Mathematics 2 100%

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