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Tamara Ann Broderick

Affiliations: 
2014 Statistics University of California, Berkeley, Berkeley, CA, United States 
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Michael I. Jordan grad student 2014 UC Berkeley
 (Clusters and Features from Combinatorial Stochastic Processes.)

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Publications

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Camerlenghi F, Favaro S, Masoero L, et al. (2022) Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation. Journal of the American Statistical Association. 119: 320-331
Campbell T, Huggins JH, How JP, et al. (2019) Truncated Random Measures Bernoulli. 25: 1256-1288
Broderick T, Wilson AC, Jordan MI. (2018) Posteriors, conjugacy, and exponential families for completely random measures Bernoulli. 24: 3181-3221
Broderick T, Mackey L, Paisley J, et al. (2015) Combinatorial Clustering and the Beta Negative Binomial Process. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 290-306
Luts J, Broderick T, Wand M. (2014) Real-Time Semiparametric Regression Journal of Computational and Graphical Statistics. 23: 589-615
Broderick T, Jordan MI, Pitman J. (2013) Cluster and feature modeling from combinatorial stochastic processes Statistical Science. 28: 289-312
Broderick T, Pitman J, Jordan MI. (2013) Feature allocations, probability functions, and paintboxes Bayesian Analysis. 8: 801-836
Broderick T, Jordan MI, Pitman J. (2012) Beta processes, stick-breaking and power laws Bayesian Analysis. 7: 439-476
Broderick T, Gramacy RB. (2011) Classification and Categorical Inputs with Treed Gaussian Process Models Journal of Classification. 28: 244-270
Broderick T, Wong-Lin KF, Holmes P. (2009) Closed-Form Approximations of First-Passage Distributions for a Stochastic Decision-Making Model. Applied Mathematics Research Express : Amrx. 2009: 123-141
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