1. A Bayesian Multivariate Functional Dynamic Linear Model. Issue 518 (3rd April 2017) Authors: Kowal, Daniel R.; Matteson, David S.; Ruppert, David Journal: Journal of the American Statistical Association Issue: Volume 112:Issue 518(2017) Page Start: 733 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. An evaluation of independent component analyses with an application to resting‐state fMRI. Issue 1 (18th December 2013) Authors: Risk, Benjamin B.; Matteson, David S.; Ruppert, David; Eloyan, Ani; Caffo, Brian S. Journal: Biometrics Issue: Volume 70:Issue 1(2014) Page Start: 224 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Band Depth Clustering for Nonstationary Time Series and Wind Speed Behavior. Issue 2 (3rd April 2018) Authors: Tupper, Laura L.; Matteson, David S.; Anderson, C. Lindsay; Zephyr, Luckny Journal: Technometrics Issue: Volume 60:Issue 2(2018) Page Start: 245 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Data Science in Science: A New Journal with a Radically Collaborative Mission. Issue 1 (31st December 2022) Authors: Matteson, David S. Journal: Data science in science Issue: Volume 1:Issue 1(2022) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Data Science in Science: Special Issue on Data Science in Environmental and Climate Sciences. Issue 1 (31st December 2022) Authors: Friedrich, Marina; Mahieu, Emmanuel; Smeekes, Stephan; Raymaekers, Jakob; Wilms, Ines; Matteson, David S. Journal: Data science in science Issue: Volume 1:Issue 1(2022) Page Start: 5 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Data Science in Science: Special Issue on Data Science in Modern Finance. Issue 1 (31st December 2022) Authors: Getmansky Sherman, Mila; Tsay, Ruey S.; Chen, Rong; Pelger, Markus; Basu, Sumanta; Kowal, Daniel R.; Killick, Rebecca; Mankad, Shawn; Wilms, Ines; Safikhani, Abolfazl; McBride, Linden; Matteson, David S. Journal: Data science in science Issue: Volume 1:Issue 1(2022) Page Start: 3 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Developing and Evaluating Deep Neural Network-Based Denoising for Nanoparticle TEM Images with Ultra-Low Signal-to-Noise. (December 2021) Authors: Vincent, Joshua L.; Manzorro, Ramon; Mohan, Sreyas; Tang, Binh; Sheth, Dev Y.; Simoncelli, Eero P.; Matteson, David S.; Fernandez-Granda, Carlos; Crozier, Peter A. Journal: Microscopy and microanalysis Issue: Volume 27:Number 6(2021) Page Start: 1431 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Dynamic shrinkage processes. (28th May 2019) Authors: Kowal, Daniel R.; Matteson, David S.; Ruppert, David Journal: Journal of the Royal Statistical Society Issue: Volume 81:Number 4(2019) Page Start: 781 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. (December 2022) Authors: Manzorro, Ramon; Xu, Yuchen; Vincent, Joshua L.; Rivera, Roberto; Matteson, David S.; Crozier, Peter A. Journal: Microscopy and microanalysis Issue: Volume 28:Number 6(2022) Page Start: 1917 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Factor analysis of mixed data for anomaly detection. (2nd May 2022) Authors: Davidow, Matthew; Matteson, David S. Journal: Statistical analysis and data mining Issue: Volume 15:Number 4(2022) Page Start: 480 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗