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020 _a9783319694160
_9978-3-319-69416-0
024 7 _a10.1007/978-3-319-69416-0
_2doi
040 _cCUS
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519.5
_223
245 1 0 _aNew Advances in Statistics and Data Science
_h[electronic resource] /
_cedited by Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, Aiyi Liu, Yichuan Zhao.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXIII, 348 p. 74 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aICSA Book Series in Statistics,
_x2199-0980
505 0 _aPart 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 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.
520 _aThis 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 statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields.  The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.
650 0 _aStatistics .
650 0 _aBig data.
650 0 _aBiostatistics.
650 1 4 _aStatistical Theory and Methods.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S11001
650 2 4 _aBig Data/Analytics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/522070
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17030
650 2 4 _aBiostatistics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L15020
700 1 _aChen, Ding-Geng.
700 1 _aJin, Zhezhen.
700 1 _aLi, Gang.
700 1 _aLi, Yi.
700 1 _aLiu, Aiyi.
700 1 _aZhao, Yichuan.
830 0 _aICSA Book Series in Statistics,
_x2199-0980
856 4 0 _uhttps://doi.org/10.1007/978-3-319-69416-0
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
942 _cEBK
999 _c206780
_d206780