Inferring causal impact using Bayesian structural time-series models KH Brodersen, F Gallusser, J Koehler, N Remy, SL Scott | 1024 | 2015 |
Bayesian methods for hidden Markov models: Recursive computing in the 21st century SL Scott Journal of the American statistical Association 97 (457), 337-351, 2002 | 733 | 2002 |
A modern Bayesian look at the multi‐armed bandit SL Scott Applied Stochastic Models in Business and Industry 26 (6), 639-658, 2010 | 715 | 2010 |
Bayes and big data: The consensus Monte Carlo algorithm SL Scott, AW Blocker, FV Bonassi, HA Chipman, EI George, ... Big Data and Information Theory, 8-18, 2022 | 535 | 2022 |
Predicting the present with Bayesian structural time series SL Scott, HR Varian International Journal of Mathematical Modelling and Numerical Optimisation 5 …, 2014 | 488 | 2014 |
Bayesian variable selection for nowcasting economic time series SL Scott, HR Varian National Bureau of Economic Research, 2013 | 236 | 2013 |
Data augmentation for support vector machines NG Polson, SL Scott | 216 | 2011 |
The Markov modulated Poisson process and Markov Poisson cascade with applications to web traffic data SL Scott, P Smyth Bayesian statistics 7, 671-680, 2003 | 142 | 2003 |
A Bayesian paradigm for designing intrusion detection systems SL Scott Computational statistics & data analysis 45 (1), 69-83, 2004 | 140 | 2004 |
Multi‐armed bandit experiments in the online service economy SL Scott Applied Stochastic Models in Business and Industry 31 (1), 37-45, 2015 | 127 | 2015 |
Hidden Markov models for longitudinal comparisons SL Scott, GM James, CA Sugar Journal of the American Statistical Association 100 (470), 359-369, 2005 | 119 | 2005 |
Data augmentation, frequentist estimation, and the Bayesian analysis of multinomial logit models SL Scott Statistical Papers 52 (1), 87-109, 2011 | 71 | 2011 |
Systems and methods for anomaly detection and guided analysis using structural time-series models KH Brodersen, H Garnes, D Meretakis, O Bachmann, SL Scott US Patent App. 14/585,675, 2016 | 67 | 2016 |
Bayesian analysis of a two-state Markov modulated Poisson process SL Scott Journal of Computational and Graphical Statistics 8 (3), 662-670, 1999 | 61 | 1999 |
Empirical Bayes and item-clustering effects in a latent variable hierarchical model: A case study from the National Assessment of Educational Progress SL Scott, EH Ip Journal of the American Statistical Association 97 (458), 409-419, 2002 | 56 | 2002 |
Detecting network intrusion using a markov modulated nonhomogeneous poisson process SL Scott Submitted to the Journal of the American Statistical Association 31, 80, 2001 | 51 | 2001 |
Comparing consensus Monte Carlo strategies for distributed Bayesian computation SL Scott | 33 | 2017 |
Bayesian methods and extensions for the two state Markov modulated Poisson process SL Scott Harvard University, 1998 | 25 | 1998 |
A nested hidden markov model for internet browsing behavior SL Scott, IH Hann Marshall School of Business, 1-26, 2006 | 19 | 2006 |
Dynamic techniques for evaluating quality of clustering or classification system aimed to minimize the number of manual reviews based on Bayesian inference and Markov Chain … K Buryak, SL Scott, S Doubilet US Patent 8,635,172, 2014 | 18 | 2014 |