David A. Van Dyk

According to our database, David A. Van Dyk authored at least 8 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines.

Seonghyun Jeong, Taeyoung Park, David A. Van Dyk

J. Comput. Graph. Stat., January, 2022

Pylira: deconvolution of images in the presence of Poisson noise.

Axel Donath, Aneta Siemiginowska, Vinay Kashyap, Douglas Burke, Karthik Reddy Solipuram, David A. Van Dyk

Proceedings of the 21st Python in Science Conference 2022, 2022

2021

Stratified Learning: a general-purpose statistical method for improved learning under Covariate Shift.

Maximilian Autenrieth, David A. Van Dyk, Roberto Trotta, David C. Stenning

CoRR, 2021

2013

Morphological feature extraction for statistical learning with applications to solar image data.

David C. Stenning, Thomas C. M. Lee, David A. Van Dyk, Vinay Kashyap, Julia Sandell, C. Alex Young

Stat. Anal. Data Min., 2013

Combining computer models to account for mass loss in stellar evolution.

Nathan M. Stein, David A. Van Dyk, Ted von Hippel, Steven DeGennaro, Elizabeth J. Jeffery, William H. Jefferys

Stat. Anal. Data Min., 2013

2012

H-means image segmentation to identify solar thermal features.

Nathan M. Stein, Vinay Kashyap, Xiao-Li Meng, David A. Van Dyk

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2009

Preface.

David A. Van Dyk, Max Welling

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2003

The one-step-late PXEM algorithm.

David A. Van Dyk, Ruoxi Tang

Stat. Comput., 2003