David A. Van Dyk - researchr alias

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Viewing Publication 1 - 8 from 8

2024

Stratified learning: A general-purpose statistical method for improved learning under covariate shiftMaximilian Autenrieth, David A. Van Dyk, Roberto Trotta, David C. Stenning. sadm, 17(1), February 2024. [doi]

2022

Pylira: deconvolution of images in the presence of Poisson noiseAxel Donath, Aneta Siemiginowska, Vinay Kashyap, Douglas Burke, Karthik Reddy Solipuram, David A. Van Dyk. scipy 2022: 98-104 [doi]

Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive SplinesSeonghyun Jeong, Taeyoung Park, David A. Van Dyk. jcgs, 31(1):324-336, January 2022. [doi]

2013

Combining computer models to account for mass loss in stellar evolutionNathan M. Stein, David A. Van Dyk, Ted von Hippel, Steven DeGennaro, Elizabeth J. Jeffery, William H. Jefferys. sadm, 6(1):34-52, 2013. [doi]

Morphological feature extraction for statistical learning with applications to solar image dataDavid C. Stenning, Thomas C. M. Lee, David A. Van Dyk, Vinay Kashyap, Julia Sandell, C. Alex Young. sadm, 6(4):329-345, 2013. [doi]

2012

H-means image segmentation to identify solar thermal featuresNathan M. Stein, Vinay Kashyap, Xiao-Li Meng, David A. Van Dyk. icip 2012: 1597-1600 [doi]

2009

PrefaceDavid A. Van Dyk, Max Welling. jmlr, 5, 2009. [doi]

2003

The one-step-late PXEM algorithmDavid A. Van Dyk, Ruoxi Tang. sac, 13(2):137-152, 2003. [doi]

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