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ORCIDStatistical Analysis and Data Mining, Volume 12
Volume 12, Number 1, February 2019
- Nickolay T. Trendafilov
, Sara Fontanella:
Exploratory factor analysis of large data matrices. 5-11 - Wei Gao, Wenna Ye:
A Min-Max conditional covariance algorithm for structure learning of Gaussian graphical models. 12-22 - Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman:
Properties and Bayesian fitting of restricted Boltzmann machines. 23-38
- Erratum. 39
Volume 12, Number 2, April 2019
- Shirin Golchi:
Informative priors in Bayesian inference and computation. 45-55 - Sandra E. Safo, Qi Long:
Sparse linear discriminant analysis in structured covariates space. 56-69 - Yixin Wang, Stefan Van Aelst:
Robust variable screening for regression using factor profiling. 70-87 - Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai:
Anomalous cluster detection in spatiotemporal meteorological fields. 88-100 - J. Derek Tucker, John R. Lewis, Anuj Srivastava:
Elastic functional principal component regression. 101-115 - Tahir Ekin, Greg Lakomski, Rasim Muzaffer Musal:
An unsupervised Bayesian hierarchical method for medical fraud assessment. 116-124 - Luca Mancini, Anna Maria Paganoni:
Marked point process models for the admissions of heart failure patients. 125-135
Volume 12, Number 3, June 2019
- Ze Jin, Benjamin B. Risk, David S. Matteson:
Optimization and testing in linear non-Gaussian component analysis. 141-156 - Ke-Jia Chen, Hao Lu, Yun Li, Bin Liu:
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. 157-167 - Chunxia Zhang, Yilei Wu, Mu Zhu:
Pruning variable selection ensembles. 168-184 - Emanuele Aliverti, Daniele Durante:
Spatial modeling of brain connectivity data via latent distance models with nodes clustering. 185-196 - Lu Zhang, Abhirup Datta, Sudipto Banerjee:
Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments. 197-209 - Angela Fan, Finale Doshi-Velez, Luke Miratrix:
Assessing topic model relevance: Evaluation and informative priors. 210-222
- Nicholas S. Berry, Ranjan Maitra:
TiK-means: Transformation-infused K-means clustering for skewed groups. 223-233
- Pablo Montero-Manso, José Antonio Vilar:
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances. 234-252
Volume 12, Number 4, August 2019
Research Articles
- Jeanette J. Varela, Christine M. Anderson-Cook, Brian P. Weaver, Lawrence O. Ticknor, Cary B. Skidmore:
Predicting historical indoor temperatures from available local weather data. 257-270 - Christine M. Anderson-Cook, Kary L. Myers, Lu Lu, Michael Fugate, Kevin R. Quinlan, Norma H. Pawley:
How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis. 271-289 - Vyacheslav N. Romanov, Narayanan Krishnamurthy, Amit K. Verma, Laura S. Bruckman, Roger H. French, Jennifer L. W. Carter, Jeffrey A. Hawk:
Materials data analytics for 9% Cr family steel. 290-301 - Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen:
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers. 302-310 - Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang:
Synthesizing simulation and field data of solar irradiance. 311-324 - Bruce Bugbee, Brian W. Bush, Kenny Gruchalla, Kristin Potter, Nicholas Brunhart-Lupo, Venkat Krishnan:
Enabling immersive engagement in energy system models with deep learning. 325-337 - J. Michael L. MacNeil, Daniela M. Ushizima, Francesco Panerai, Nagi N. Mansour, Harold S. Barnard, Dilworth Y. Parkinson:
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means. 338-353
Volume 12, Number 5, October 2019
- Jia Li, Beomseok Seo, Lin Lin:
Optimal transport, mean partition, and uncertainty assessment in cluster analysis. 359-377 - Yiqing Tian, Howard D. Bondell, Alyson G. Wilson:
Bayesian variable selection for logistic regression. 378-393 - Vahid Rezaei Tabar, Hamid Zareifard, Selva Salimi, Dariusz Plewczynski:
An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm. 394-403 - Mahdi Akbarzadeh, Abbas Moghimbeigi, Nathan Morris, Maryam S. Daneshpour, Hossein Mahjub, Ali-Reza Soltanian:
A Bayesian structural equation model in general pedigree data analysis. 404-411 - Andrea Bonanomi, Marta Nai Ruscone, Silvia Angela Osmetti:
Dissimilarity measure for ranking data via mixture of copulae. 412-425 - Riccardo Bramante, Silvia Facchinetti, Diego Zappa:
Online detection of financial time series peaks and troughs: A probability-based approach. 426-433 - Paolo Berta, Veronica Vinciotti:
Multilevel logistic cluster-weighted model for outcome evaluation in health care. 434-443
Volume 12, Number 6, December 2019
Research Articles
- Jonathan W. Berry, Cynthia A. Phillips, Jared Saia:
Making social networks more human: A topological approach. 449-464 - Kathleen L. Schmidt, Ralph C. Smith, Jason M. Hite, John K. Mattingly, Yousry Y. Azmy, Deepak Rajan, Ryan A. Goldhahn:
Sequential optimal positioning of mobile sensors using mutual information. 465-478 - Brenton Blair, Cliff Chen, Andrew Glenn, Alan David Kaplan, Jaime Ruz, Lance Simms, Ron Wurtz:
Gaussian mixture models as automated particle classifiers for fast neutron detectors. 479-488 - Cory Lanker, Milton O. Smith:
A sparse Gaussian sigmoid basis function approximation of hyperspectral data for detection of solids. 489-495 - Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Parameter inference with deep jointly informed neural networks. 496-504 - Connor Amorin, Laura M. Kegelmeyer, W. Philip Kegelmeyer:
A hybrid deep learning architecture for classification of microscopic damage on National Ignition Facility laser optics. 505-513 - Joseph D. Walsh III, Luca Dieci:
A real-valued auction algorithm for optimal transport. 514-533 - Guillermo Vinué, Irene Epifanio:
Forecasting basketball players' performance using sparse functional data. 534-547
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