Statistical analysis and data mining

Keyphrases

Publications

volume 17, number 2, 2024

Hina Shaheen, Roderick Melnik, Sundeep Singh, null null
Data-driven Stochastic Model for Quantifying the Interplay Between Amyloid-beta and Calcium Levels in Alzheimer's Disease. Statistical analysis and data mining 17 (2) (2024)
Hina Shaheen, Roderick Melnik, Sundeep Singh, null null
Data-driven Stochastic Model for Quantifying the Interplay Between Amyloid-beta and Calcium Levels in Alzheimer's Disease. Statistical analysis and data mining 17 (2) (2024)
Hina Shaheen, Roderick Melnik, Sundeep Singh, null null
Data-driven Stochastic Model for Quantifying the Interplay Between Amyloid-beta and Calcium Levels in Alzheimer's Disease. Statistical analysis and data mining 17 (2) (2024)
Eugene M Laska, Ziqiang Lin, Carole E Siegel, Charles R Marmar
A treeless absolutely random forest with closed-form estimators of expected proximities. Statistical analysis and data mining 17 (2) (2024)
Eugene M Laska, Ziqiang Lin, Carole E Siegel, Charles R Marmar
A treeless absolutely random forest with closed-form estimators of expected proximities. Statistical analysis and data mining 17 (2) (2024)
Eugene M Laska, Ziqiang Lin, Carole E Siegel, Charles R Marmar
A treeless absolutely random forest with closed-form estimators of expected proximities. Statistical analysis and data mining 17 (2) (2024)

2022

Weijun Xu, Zhineng Fu, Hongyi Li, Jinglong Huang, Weidong Xu, Yiyang Luo
A study of the impact of COVID-19 on the Chinese stock market based on a new textual multiple ARMA model. Statistical analysis and data mining (2022)

volume 16, number 2, 2022

Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
Integrative Learning of Structured High-Dimensional Data from Multiple Datasets. Statistical analysis and data mining 16 (2) (2022)
Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
Integrative Learning of Structured High-Dimensional Data from Multiple Datasets. Statistical analysis and data mining 16 (2) (2022)

volume 15, number 4, 2022

Ziqiang Lin, Eugene Laska, Carole Siegel
A General Iterative Clustering Algorithm. Statistical analysis and data mining 15 (4) (2022)

volume 15, number 5, 2022

Jami J Mulgrave, Subhashis Ghosal
Regression-Based Bayesian Estimation and Structure Learning for Nonparanormal Graphical Models. Statistical analysis and data mining 15 (5) (2022)
Mengque Liu, Qingzhao Zhang, Shuangge Ma
A tree-based gene-environment interaction analysis with rare features. Statistical analysis and data mining 15 (5) (2022)

volume 15, number 1, 2021

James P Long, Min Jin Ha
Sample Selection Bias in Evaluation of Prediction Performance of Causal Models. Statistical analysis and data mining 15 (1) (2021)

volume 15, number 3, 2021

Xinkai Zhou, Jin J Zhou, Hua Zhou
Bag of little bootstraps for massive and distributed longitudinal data. Statistical analysis and data mining 15 (3) (2021)
Min Zhang, Gal Mishne, Eric C Chi
Multi-scale affinities with missing data: Estimation and applications. Statistical analysis and data mining 15 (3) (2021)

volume 15, number 5, 2021

Yuxiao Huang, Kara G Fields, Yan Ma
A Tutorial on Generative Adversarial Networks with Application to Classification of Imbalanced Data. Statistical analysis and data mining 15 (5) (2021)

volume 14, number 2, 2021

Mingmei Tian, Rachael Hageman Blair, Lina Mu, Matthew Bonner, Richard Browne, Han Yu
A framework for stability-based module detection in correlation graphs. Statistical analysis and data mining 14 (2) (2021)
Alejandro M A Mantero, Hemant Ishwaran
Unsupervised random forests. Statistical analysis and data mining 14 (2) (2021)

volume 14, number 1, 2020

Amy M Crawford, Nicholas S Berry, Alicia L Carriquiry
A clustering method for graphical handwriting components and statistical writership analysis. Statistical analysis and data mining 14 (1) (2020)
Junghi Kim, Hongtu Zhu, Xiao Wang, Kim-Anh Do
Scalable network estimation with L 0 penalty. Statistical analysis and data mining 14 (1) (2020)

volume 13, number 2, 2020

Soyoung Park, Alicia Carriquiry
An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature. Statistical analysis and data mining 13 (2) (2020)

volume 13, number 4, 2020

Nathaniel Garton, Jarad Niemi, Alicia Carriquiry
Knot selection in sparse Gaussian processes with a variational objective function. Statistical analysis and data mining 13 (4) (2020)

volume 12, number 3, 2019

Lu Zhang, Abhirup Datta, Sudipto Banerjee
Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments. Statistical analysis and data mining 12 (3) (2019)

volume 11, number 4, 2018

Eugene Demidenko
The next-generation K-means algorithm. Statistical analysis and data mining 11 (4) (2018)
Tianwei Yu
Nonlinear variable selection with continuous outcome: a fully nonparametric incremental forward stagewise approach. Statistical analysis and data mining 11 (4) (2018)

volume 11, number 5, 2018

Donghyeon Yu, Sang Han Lee, Johan Lim, Guanghua Xiao, R Cameron Craddock, Bharat B Biswal
Fused Lasso Regression for Identifying Differential Correlations in Brain Connectome Graphs. Statistical analysis and data mining 11 (5) (2018)

volume 11, number 1, 2017

Hien D Nguyen, Jeremy F P Ullmann, Geoffrey J McLachlan, Venkatakaushik Voleti, Wenze Li, Elizabeth M C Hillman, David C Reutens, Andrew L Janke
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling. Statistical analysis and data mining 11 (1) (2017)

volume 10, number 6, 2017

Fei Tang, Hemant Ishwaran
Random Forest Missing Data Algorithms. Statistical analysis and data mining 10 (6) (2017)

volume 9, number 1, 2016

Jean-Eudes Dazard, Michael Choe, Michael LeBlanc, J Sunil Rao
Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods. Statistical analysis and data mining 9 (1) (2016)

volume 9, number 2, 2016

Binghui Liu, Xiaotong Shen, Wei Pan
Nonlinear Joint Latent Variable Models and Integrative Tumor Subtype Discovery. Statistical analysis and data mining 9 (2) (2016)
Guanhua Chen, Yufeng Liu, Dinggang Shen, Michael R Kosorok
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data. Statistical analysis and data mining 9 (2) (2016)

volume 9, number 4, 2016

Evangelos E Papalexakis, Christos Faloutsos, Tom M Mitchell, Partha Pratim Talukdar, Nicholas D Sidiropoulos, Brian Murphy
Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications. Statistical analysis and data mining 9 (4) (2016)
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. Statistical analysis and data mining 9 (4) (2016)

volume 9, number 6, 2016

Adrian E Raftery
Use and Communication of Probabilistic Forecasts. Statistical analysis and data mining 9 (6) (2016)

volume 8, number 1, 2015

Samiran Ghosh, Yazhen Wang
Feature Import Vector Machine: A General Classifier with Flexible Feature Selection. Statistical analysis and data mining 8 (1) (2015)

volume 8, number 2, 2015

Jose-Miguel Yamal, Martial Guillaud, E Neely Atkinson, Michele Follen, Calum MacAulay, Scott B Cantor, Dennis D Cox
Prediction using hierarchical data: Applications for automated detection of cervical cancer. Statistical analysis and data mining 8 (2) (2015)

volume 7, number 5, 2014

Yolanda Hagar, David Albers, Rimma Pivovarov, Herbert Chase, Vanja Dukic, Noémie Elhadad
Survival Analysis with Electronic Health Record Data: Experiments with Chronic Kidney Disease. Statistical analysis and data mining 7 (5) (2014)

volume 4, number 6, 2011

Ashin Mukherjee, Ji Zhu
Reduced Rank Ridge Regression and Its Kernel Extensions. Statistical analysis and data mining 4 (6) (2011)