Google Scholar profile.


(2017) Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing. W Tansey, J Thomason, JG Scott.

(2017) Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning. W Tansey, K Pichotta, JG Scott. arXiv preprint arXiv:1702.07398

(2016) Sequential nonparametric tests for a change in distribution: an application to detecting radiological anomalies. OHM Padilla, A Athey, A Reinhart, JG Scott. arXiv:1612.07867

(2016) The DFS Fused Lasso: Linear-Time Denoising over General Graphs. OHM Padilla, JG Scott, J Sharpnack, RJ Tibshirani. arXiv:1608.03384]

(2015) A deconvolution path for mixtures O.M. Padilla, N.G. Polson and J.G. Scott. arXiv:1511.06750.

(2015) Nonparametric density estimation by histogram trend filtering. O.M. Padilla and J.G. Scott. arXiv:1509.04348.

(2015) Vertical-likelihood Monte Carlo (with N. Polson).

Published articles and conference proceedings

(2017) False discovery rate smoothing (with W. Tansey, O. Koyejo, and R. Poldrack). Accepted in Journal of the American Statistical Association.

(2017) Multiscale spatial density smoothing: an application to large-scale radiological survey and anomaly detection. W. Tansey, A. Athey, A. Reinhart, and J.G. Scott. Accepted in Journal of the American Statistical Association.

(2017) Tensor decomposition with generalized lasso penalties. Oscar Padilla and J.G. Scott. Journal of Computational and Graphical Statistics (in press).

(2016) Diet2Vec: Multi-scale analysis of massive dietary data.. W Tansey, EW Lowe Jr, JG Scott. Neural Information Processing Systems (NIPS) 2016, Workshop on Machine Learning for Health.

(2016) Requests for Abortion in Latin America Related to Concern about Zika Virus Exposure. ARA Aiken, JG Scott, R Gomperts, J Trussell, and C Aiken. Requests for abortion in Latin America related to concern about Zika virus exposure. New England Journal of Medicine DOI: 10.1056/NEJMc1605389. (in press).

(2016) The influence of hours worked prior to delivery on maternal and neonatal outcomes: a retrospective cohort study. C Aiken, AR Aiken, JG Scott, JC Brockelsby. American Journal of Obstetrics & Gynecology 215(5), p634.

(2016) Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes (with M. Zhou). Journal of the American Statistical Association (Theory and Methods) 111(515), pp. 1144-56.

(2016) Respiratory virus transmission dynamics determines timing of asthma exacerbation peaks: evidence from a population-level model. Rosalind M Eggo, James G Scott, Alison P Galvani, and Lauren Ancel Meyers. Proceedings of the National Academy of Sciences 113(8): 2194-9.

(2016) Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data. Prasad Buddhavarapu, James G. Scott, and Jorge A. Prozzi. Transportation Research (Part B: Methodological) 91: 492-510.

(2016) Weekend working: A retrospective cohort study of maternal and neonatal outcomes in a large NHS delivery unit. C. Aiken, A.R.A. Aiken, J.G. Scott, J. Trussell, and J.C Brockelsby. European Journal of Obstetrics & Gynecology and Reproductive Biology 199: 5-10.

(2016) Family planning policy in the United States: the converging politics of abortion and contraception. ARA Aiken, J Scott Contraception 93(5): 412-20.

(2016) Mixtures, envelopes, and hierarchical duality (with N. Polson). Journal of the Royal Statistical Society, Series B (in press).

(2015) Proximal algorithms in statistics and machine learning (with N. Polson and B. Willard). Statistical Science 30(4): 559-81.

(2015) Nonparametric Bayesian testing for monotonicity (with T. Shively and S. Walker). Biometrika 102(3): 617-30.

(2015) False discovery rate regression: an application to neural synchrony detection in primary visual cortex (with R. Kelly, M. Smith, P. Zhou, and R. Kass). Journal of the American Statistical Association 110: 510, pp 459-71.

(2015) Management of Fetal Malposition in the Second Stage of Labor: A Propensity Score Analysis. (with A. Aiken, C. Aiken, M. Alberry, J. Brocklesby). American Journal of Obstetrics and Gynecology 212: 3, p. 355.
(2015) Estimating trait heritability in highly fecund species (with S Scarpino, SW Davies, T Pongwarin, and M Matz). G3: Genes, Genomes, Genetics 5(12): 2639-45.

(2014) Factors influencing the likelihood of instrumental delivery success (with C. Aiken, A. Aiken, and J. Brocklesby). Obstetrics and Gynecology 123(4): 796-803.

(2014) The Bayesian Bridge (with N.G. Polson and J. Windle). arXiv:1109.2279v1 [stat.ME]. The Journal of the Royal Statistical Society, Series B (Statistical Methodology) 76:4 (713–33).

(2014) Inference in two-piece location-scale models with Jeffreys priors: an invited discussion. Bayesian Analysis 9(1): 25-28 (2014).

(2013) Bayesian inference for logistic models using Polya-Gamma latent variables (with N.G. Polson and J. Windle). Journal of the American Statistical Association (Theory & Methods) 108(504): 1339–49. arXiv:1205.0310 [stat.ME].

(2013) No control genes required: Bayesian analysis of qRT-PCR data. (with M.V. Matz and R.G. Wright). PLoS ONE 8(8): e71448 (2013).

(2013) A recursive estimate for the predictive likelihood in a topic model (with J. Baldridge). _Proceedings of the 16th International Conference on Artificial Intelligence and Statistics _ (AISTATS) 31 (2013).

(2013) Data augmentation for non-Gaussian regression models using variance-mean mixtures (with N.G. Polson). Biometrika 100(2): 549-71 (2013).

(2012) Fully Bayesian inference for neural models with negative-binomial spiking (with J. Pillow). Advances in Neural Information Processing Systems (NIPS) 25 (2012).

(2012) On the half-Cauchy prior for a global scale parameter (with N.G. Polson). Bayesian Analysis 7(4): 887-902 (2012).

(2012) A sparse factor-analytic probit model for Congressional voting patterns (with P.R. Hahn and C.M. Carvalho). Journal of the Royal Statistical Society (Series C: Applied Statistics) 61(4): 619-35 (2012).

(2012) Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors (with N.G. Polson). Annals of Applied Statistics 6(1): 161-85 (2012).

(2012) Benchmarking historical corporate performance. Computational Statistics and Data Analysis 56(6): 1795-1807 (2012).

(2012) Local shrinkage rules, Levy processes, and regularized regression (with N.G. Polson). Journal of the Royal Statistical Society (Series B: Statistical Methodology) 74(2): 287-311 (2012).

(2011) Bayesian estimation of intensity surfaces on the sphere via needlet shrinkage and selection. Bayesian Analysis 6(2): 307-28 (2011).

(2011) Shrink globally, act locally: sparse Bayesian regularization and prediction (with N.G. Polson). Bayesian Statistics 9: Proceedings of the Ninth Valencia International Meeting, Oxford University Press (2011).

(2010) The horseshoe estimator for sparse signals (with C.M. Carvalho and N.G. Polson). Biometrika 97(2): 465-80 (2010).

(2010) Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem (with J.O. Berger). The Annals of Statistics 38(5): 2587-2619 (2010).

(2009) Handling sparsity via the horseshoe. (with C.M. Carvalho and N.G.~Polson) Journal of Machine Learning Research W&CP 5: 73-80 (2009).

(2009) Nonparametric Bayesian multiple testing for longitudinal performance stratification. Annals of Applied Statistics 3(4): 1655-74 (2009).

(2009) Objective Bayesian model selection in Gaussian graphical models (with C.M. Carvalho). Biometrika 96(3): 497-512 (2009).

(2008) Feature-inclusion stochastic search for Gaussian graphical models (with C.M. Carvalho). Journal of Computational and Graphical Statistics 17(4): 790-808 (2008).

(2006) An exploration of aspects of Bayesian multiple testing (with J.O. Berger). Journal of Statistical Planning and Inference 136(7): 2144-262 (2006).

(2006) Inverting color-magnitude diagrams to access precise star cluster parameters: a Bayesian approach (with T. von Hippel, W. Jefferys, N. Stein, D. Winget, S. DeGennaro, A. Dam, and E. Jeffery). The Astrophysical Journal 645(2): 1436-47 (2006).

(2005) White dwarfs in open clusters: calibrating the clock (with T. von Hippel, W. Jefferys, and D. Winget). 14th European Workshop on White Dwarfs, ASP Conference Series 334: 77-80 (2005).

Book chapters

(2013) The partition problem: case studies in Bayesian screening for time-varying model structure (with Z. Liu and J. Windle). To appear in Bayesian Theory and Applications: Essays in Honor of Adrian Smith. Oxford University Press (2013).

(2010) Bayesian computation and the linear model (with M. Heaton). Frontiers of Statistical Decision Making and Bayesian Analysis. Springer (2010).

(2010) Bayesian forecasting, futures markets, and risk modelling (with J.M. Quintana, C.M. Carvalho, and T. Costigliola). Handbook of Applied Bayesian Analysis Oxford University Press (2010).