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Statistical Analysis and Data Mining, Volume 9
Volume 9, Number 1, February 2016
- Julian Faraway
, Ashish Mahabal, Jiayang Sun
Modeling lightcurves for improved classification of astronomical objects. 1-11 - Jean-Eudes J. Dazard
Cross-validation and peeling strategies for survival bump hunting using recursive peeling methods. 12-42 - Mu Qiao, Jia Li:
Distance-based mixture modeling for classification via hypothetical local mapping. 43-57 - Paolo Frumento
The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches. 58-70
Volume 9, Number 2, April 2016
- Guanhua Chen
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data. 75-88 - Patrick K. Kimes
Large-margin classification with multiple decision rules. 89-105
- Binghui Liu, Xiaotong Shen, Wei Pan:
Nonlinear joint latent variable models and integrative tumor subtype discovery. 106-116 - Yuting Ma, Tian Zheng:
Boosted sparse nonlinear distance metric learning. 117-134
Volume 9, Number 3, June 2016
- Hossein Hassani, Xu Huang
A review of data mining applications in crime. 139-154
- Ya-Ju Fan, Chandrika Kamath:
Detecting ramp events in wind energy generation using affinity evaluation on weather data. 155-173
- Peifeng Yin, Qi He
It takes two to tango: Exploring social tie development with both online and offline interactions. 174-187 - Sun Makosso-Kallyth:
Principal axes analysis of symbolic histogram variables. 188-200
Volume 9, Number 4, August 2016
- Mansurul Bhuiyan, Mohammad Al Hasan:
Interactive knowledge discovery from hidden data through sampling of frequent patterns. 205-229
- Anthony Lee
Forest resampling for distributed sequential Monte Carlo. 230-248 - Michael J. Kane, Bryan Lewis, Sekhar Tatikonda, Simon Urbanek
Scatter matrix concordance as a diagnostic for regressions on subsets of data. 249-259 - Trevor R. Shaddox, Patrick B. Ryan, Martijn J. Schuemie, David Madigan, Marc A. Suchard:
Hierarchical models for multiple, rare outcomes using massive observational healthcare databases. 260-268
- Evangelos E. Papalexakis
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. 269-290
Volume 9, Number 5, October 2016
Original Articles
- Sean L. Barnes
Great expectations: An analysis of major league baseball free agent performance. 295-309 - Sami Mecheri, François Rioult, Bruno Mantel, François Kauffmann, Nicolas Benguigui:
The serve impact in tennis: First large-scale study of big Hawk-Eye data. 310-325 - Bhupesh Shetty, Jeffrey W. Ohlmann, Gary J. Gaeth:
Analysis of monday night football viewership. 326-337 - Joel Brooks, Matthew Kerr, John V. Guttag:
Using machine learning to draw inferences from pass location data in soccer. 338-349 - Albrecht Zimmermann:
Basketball predictions in the NCAAB and NBA: Similarities and differences. 350-364 - David Beaudoin, Oliver Schulte, Tim B. Swartz:
Biased penalty calls in the National Hockey League. 365-372 - Cornelius Arndt, Ulf Brefeld:
Predicting the future performance of soccer players. 373-382
Volume 9, Number 6, December 2016
- Thomas Brendan Murphy:
Statistical thinking and practice. 387 - Paola Cerchiello, Paolo Giudici:
A Bayesian h-index: How to measure research impact. 388-396 - Adrian E. Raftery:
Use and communication of probabilistic forecasts. 397-410 - Richard D. De Veaux, Roger W. Hoerl, Ronald D. Snee:
Big data and the missing links. 411-416
- Wenning Feng, Chae Young Lim, Tapabrata Maiti, Zhen Zhang
Spatial regression and estimation of disease risks: A clustering-based approach. 417-434 - Luke Miratrix, Robin Ackerman:
Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability. 435-460
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