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Publication search results
found 41 matches
- 2019
- Mahdi Akbarzadeh, Abbas Moghimbeigi, Nathan Morris, Maryam S. Daneshpour, Hossein Mahjub, Ali-Reza Soltanian:
A Bayesian structural equation model in general pedigree data analysis. Stat. Anal. Data Min. 12(5): 404-411 (2019) - Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen:
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers. Stat. Anal. Data Min. 12(4): 302-310 (2019) - Emanuele Aliverti, Daniele Durante:
Spatial modeling of brain connectivity data via latent distance models with nodes clustering. Stat. Anal. Data Min. 12(3): 185-196 (2019) - Connor Amorin, Laura M. Kegelmeyer, W. Philip Kegelmeyer:
A hybrid deep learning architecture for classification of microscopic damage on National Ignition Facility laser optics. Stat. Anal. Data Min. 12(6): 505-513 (2019) - 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. Stat. Anal. Data Min. 12(4): 271-289 (2019) - Nicholas S. Berry, Ranjan Maitra:
TiK-means: Transformation-infused K-means clustering for skewed groups. Stat. Anal. Data Min. 12(3): 223-233 (2019) - Jonathan W. Berry, Cynthia A. Phillips, Jared Saia:
Making social networks more human: A topological approach. Stat. Anal. Data Min. 12(6): 449-464 (2019) - Paolo Berta, Veronica Vinciotti:
Multilevel logistic cluster-weighted model for outcome evaluation in health care. Stat. Anal. Data Min. 12(5): 434-443 (2019) - 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. Stat. Anal. Data Min. 12(6): 479-488 (2019) - Andrea Bonanomi, Marta Nai Ruscone, Silvia Angela Osmetti:
Dissimilarity measure for ranking data via mixture of copulae. Stat. Anal. Data Min. 12(5): 412-425 (2019) - Riccardo Bramante, Silvia Facchinetti, Diego Zappa:
Online detection of financial time series peaks and troughs: A probability-based approach. Stat. Anal. Data Min. 12(5): 426-433 (2019) - Bruce Bugbee, Brian W. Bush, Kenny Gruchalla, Kristin Potter, Nicholas Brunhart-Lupo, Venkat Krishnan:
Enabling immersive engagement in energy system models with deep learning. Stat. Anal. Data Min. 12(4): 325-337 (2019) - Ke-Jia Chen, Hao Lu, Yun Li, Bin Liu:
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. Stat. Anal. Data Min. 12(3): 157-167 (2019) - Tahir Ekin, Greg Lakomski, Rasim Muzaffer Musal:
An unsupervised Bayesian hierarchical method for medical fraud assessment. Stat. Anal. Data Min. 12(2): 116-124 (2019) - Angela Fan, Finale Doshi-Velez, Luke Miratrix:
Assessing topic model relevance: Evaluation and informative priors. Stat. Anal. Data Min. 12(3): 210-222 (2019) - Wei Gao, Wenna Ye:
A Min-Max conditional covariance algorithm for structure learning of Gaussian graphical models. Stat. Anal. Data Min. 12(1): 12-22 (2019) - Shirin Golchi:
Informative priors in Bayesian inference and computation. Stat. Anal. Data Min. 12(2): 45-55 (2019) - Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Parameter inference with deep jointly informed neural networks. Stat. Anal. Data Min. 12(6): 496-504 (2019) - Ze Jin, Benjamin B. Risk, David S. Matteson:
Optimization and testing in linear non-Gaussian component analysis. Stat. Anal. Data Min. 12(3): 141-156 (2019) - Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman:
Properties and Bayesian fitting of restricted Boltzmann machines. Stat. Anal. Data Min. 12(1): 23-38 (2019) - Cory Lanker, Milton O. Smith:
A sparse Gaussian sigmoid basis function approximation of hyperspectral data for detection of solids. Stat. Anal. Data Min. 12(6): 489-495 (2019) - Jia Li, Beomseok Seo, Lin Lin:
Optimal transport, mean partition, and uncertainty assessment in cluster analysis. Stat. Anal. Data Min. 12(5): 359-377 (2019) - 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. Stat. Anal. Data Min. 12(4): 338-353 (2019) - Luca Mancini, Anna Maria Paganoni:
Marked point process models for the admissions of heart failure patients. Stat. Anal. Data Min. 12(2): 125-135 (2019) - Pablo Montero-Manso, José Antonio Vilar:
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances. Stat. Anal. Data Min. 12(3): 234-252 (2019) - Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai:
Anomalous cluster detection in spatiotemporal meteorological fields. Stat. Anal. Data Min. 12(2): 88-100 (2019) - 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. Stat. Anal. Data Min. 12(4): 290-301 (2019) - Sandra E. Safo, Qi Long:
Sparse linear discriminant analysis in structured covariates space. Stat. Anal. Data Min. 12(2): 56-69 (2019) - 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. Stat. Anal. Data Min. 12(6): 465-478 (2019) - Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang:
Synthesizing simulation and field data of solar irradiance. Stat. Anal. Data Min. 12(4): 311-324 (2019)
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