Handling Sparsity via the Horseshoe. - Carlos M. Carvalho; Nicholas G. Polson; James G. Scott (AISTATS, 2009)

Fully Bayesian inference for neural models with negative-binomial spiking. - Jonathan W. Pillow; James G. Scott (NIPS, 2012)

Benchmarking historical corporate performance. - James G. Scott (Comput. Stat. Data Anal., 2012)

Proximal Algorithms in Statistics and Machine Learning. - Nicholas G. Polson; James G. Scott; Brandon T. Willard (CoRR, 2015)

Diet2Vec: Multi-scale analysis of massive dietary data. - Wesley Tansey; Edward W. Lowe Jr.; James G. Scott (CoRR, 2016)

The DFS Fused Lasso: Linear-Time Denoising over General Graphs. - Oscar Hernan Madrid Padilla; James Sharpnack; James G. Scott; Ryan J. Tibshirani (J. Mach. Learn. Res., 2017)

Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. - Wesley Tansey; Karl Pichotta; James G. Scott (AAAI, 2018)

Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. - Wesley Tansey; Jesse Thomason; James G. Scott (AAAI, 2018)

TDAstats: R pipeline for computing persistent homology in topological data analysis. - Raoul R. Wadhwa; Drew F. K. Williamson; Andrew Dhawan; James G. Scott (J. Open Source Softw., 2018)

Socioeconomic bias in influenza surveillance. - Samuel V. Scarpino; James G. Scott; Rosalind M. Eggo; Bruce Clements; Nedialko B. Dimitrov; Lauren Ancel Meyers (PLoS Comput. Biol., 2020)

Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level. - Tyler Buffington; James G. Scott; Ofodike A. Ezekoye (Comput. Environ. Urban Syst., 2021)

Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. - Mauricio Tec; James G. Scott; Corwin M. Zigler (AAAI, 2023)

Conditional diffusions for neural posterior estimation. - Tianyu Chen; Vansh Bansal; James G. Scott (CoRR, 2024)

Conditional diffusions for amortized neural posterior estimation. - Tianyu Chen; Vansh Bansal; James G. Scott (AISTATS, 2025)

The surprising strength of weak classifiers for validating neural posterior estimates. - Vansh Bansal; Tianyu Chen; James G. Scott (CoRR, 2025)

CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates. - Tianyu Chen; Vansh Bansal; James G. Scott (CoRR, 2025)