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David A. Van Dyk
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2020 – today
- 2024
- [j5]Maximilian Autenrieth
, David A. Van Dyk
Stratified learning: A general-purpose statistical method for improved learning under covariate shift. Stat. Anal. Data Min. 17(1) (2024) - 2022
- [j4]Seonghyun Jeong, Taeyoung Park, David A. Van Dyk
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines. J. Comput. Graph. Stat. 31(1): 324-336 (2022) - [c3]Axel Donath
Pylira: deconvolution of images in the presence of Poisson noise. SciPy 2022: 98-104 - 2021
- [i1]Maximilian Autenrieth, David A. Van Dyk, Roberto Trotta, David C. Stenning:
Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift. CoRR abs/2106.11211 (2021)
2010 – 2019
- 2013
- [j3]Nathan M. Stein, David A. Van Dyk
Combining computer models to account for mass loss in stellar evolution. Stat. Anal. Data Min. 6(1): 34-52 (2013) - [j2]David C. Stenning, Thomas C. M. Lee, David A. Van Dyk
Morphological feature extraction for statistical learning with applications to solar image data. Stat. Anal. Data Min. 6(4): 329-345 (2013) - 2012
- [c2]Nathan M. Stein, Vinay Kashyap, Xiao-Li Meng
H-means image segmentation to identify solar thermal features. ICIP 2012: 1597-1600
2000 – 2009
- 2009
- [c1]David A. Van Dyk, Max Welling:
Preface. AISTATS 2009 - [e1]David A. Van Dyk, Max Welling:
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, AISTATS 2009, Clearwater Beach, Florida, USA, April 16-18, 2009. JMLR Proceedings 5, JMLR.org 2009 [contents] - 2003
- [j1]David A. Van Dyk
The one-step-late PXEM algorithm. Stat. Comput. 13(2): 137-152 (2003)
Coauthor Index
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