Steven L. Scott

Steven L. Scott is a statistician primarily interested in the development and application of Bayesian methods. He received his PhD from the Harvard statistics department in 1998, and served on the faculty of USC's Marshall School of Business until 2007. After a brief stint in banking he joined Google in 2008.

Google Publications

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    Inferring causal impact using Bayesian structural time-series models

    Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, Steven L. Scott

    Google, Inc. (2014)

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    Predicting the Present with Bayesian Structural Time Series

    Steven L. Scott, Hal Varian

    International Journal of Mathematical Modelling and Numerical Optimisation, vol. 5 (2014), pp. 4-23

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    Bayes and Big Data: The Consensus Monte Carlo Algorithm

    Steven L. Scott, Alexander W. Blocker, Fernando V. Bonassi

    Bayes 250 (2013) (to appear)

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    Data augmentation for support vector machines

    Nicholas G. Polson, Steven L. Scott

    Bayesian Analysis, vol. 6 (2011), pp. 1-24

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    Data Augmentation, Frequentist Estimation, and the Bayesian Analysis of Multinomial Logit Models

    Steven L. Scott

    Statistical Papers, vol. 52 (2011), pp. 87-109

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    A modern Bayesian look at the multi-armed bandit

    Steven L. Scott

    Applied Stochastic Models in Business and Industry, vol. 26 (2010), pp. 639-658