Matt Taddy
Matt Taddy
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Title
Cited by
Cited by
Year
Unobservable selection and coefficient stability: Theory and evidence
E Oster
Journal of Business & Economic Statistics 37 (2), 187-204, 2019
14422019
Text as data
M Gentzkow, B Kelly, M Taddy
Journal of Economic Literature 57 (3), 535-74, 2019
2832019
Measuring polarization in high-dimensional data: Method and application to congressional speech
M Gentzkow, J Shapiro, M Taddy
eSocialSciences Working Papers, 2016
224*2016
Multinomial inverse regression for text analysis
M Taddy
Journal of the American Statistical Association 108 (503), 755-770, 2013
1972013
Importance tempering
R Gramacy, R Samworth, R King
Statistics and Computing 20 (1), 1-7, 2010
1832010
On estimation and selection for topic models
M Taddy
Artificial Intelligence and Statistics, 1184-1193, 2012
1502012
Deep IV: A flexible approach for counterfactual prediction
J Hartford, G Lewis, K Leyton-Brown, M Taddy
International Conference on Machine Learning, 1414-1423, 2017
112*2017
A Bayesian nonparametric approach to inference for quantile regression
MA Taddy, A Kottas
Journal of Business & Economic Statistics 28 (3), 357-369, 2010
1122010
Dynamic trees for learning and design
MA Taddy, RB Gramacy, NG Polson
Journal of the American Statistical Association 106 (493), 109-123, 2011
1052011
The geometry of culture: Analyzing the meanings of class through word embeddings
AC Kozlowski, M Taddy, JA Evans
American Sociological Review 84 (5), 905-949, 2019
962019
Bayesian guided pattern search for robust local optimization
MA Taddy, HKH Lee, GA Gray, JD Griffin
Technometrics 51 (4), 389-401, 2009
912009
A nonparametric bayesian analysis of heterogenous treatment effects in digital experimentation
M Taddy, M Gardner, L Chen, D Draper
Journal of Business & Economic Statistics 34 (4), 661-672, 2016
732016
Autoregressive mixture models for dynamic spatial Poisson processes: Application to tracking intensity of violent crime
MA Taddy
Journal of the American Statistical Association 105 (492), 1403-1417, 2010
722010
Particle learning for general mixtures
CM Carvalho, HF Lopes, NG Polson, MA Taddy
Bayesian Analysis 5 (4), 709-740, 2010
702010
Coauthorship and citation networks for statisticians
P Ji, J Jin
The Annals of Applied Statistics 10 (4), 1779-1812, 2016
672016
Estimating player contribution in hockey with regularized logistic regression
RB Gramacy, ST Jensen, M Taddy
Journal of Quantitative Analysis in Sports 9 (1), 97-111, 2013
632013
Document classification by inversion of distributed language representations
M Taddy
arXiv preprint arXiv:1504.07295, 2015
612015
Distributed multinomial regression
M Taddy
arXiv preprint arXiv:1311.6139, 2015
562015
Mixture modeling for marked Poisson processes
MA Taddy, A Kottas
Bayesian Analysis 7 (2), 335-362, 2012
462012
Measuring technological innovation over the long run
B Kelly, D Papanikolaou, A Seru, M Taddy
National Bureau of Economic Research Working Paper Series, 2018
452018
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Articles 1–20