Mike West
Affiliations: | Computational Biology and Bioinformatics | Duke University, Durham, NC |
Area:
Bioinformatics, StatisticsGoogle:
"Mike West"Children
Sign in to add traineeHedibert F. Lopes | grad student | 2000 | Duke |
Viridiana A. Lourdes de Leon | grad student | 2000 | Duke |
Marco A. Ferreira | grad student | 2003 | Duke |
Fabio Rigat | grad student | 2004 | Duke |
Christopher M. Hans | grad student | 2005 | Duke |
Ming Liao | grad student | 2005 | Duke |
Carlos M. Carvalho | grad student | 2006 | Duke |
Joseph E. Lucas | grad student | 2006 | Duke |
Yuhong Wu | grad student | 2006 | Duke |
Haige Shen | grad student | 2007 | Duke |
Chunlin Ji | grad student | 2009 | Duke |
Jarad B. Niemi | grad student | 2009 | Duke |
Chiranjit Mukherjee | grad student | 2011 | Duke |
Andrew Cron | grad student | 2012 | Duke |
Jochi Nakajima | grad student | 2012 | Duke |
Fernando V. Bonassi | grad student | 2013 | Duke |
Zoey Y. Zhao | grad student | 2015 | Duke |
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Publications
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Berry LR, Helman P, West M. (2020) Probabilistic forecasting of heterogeneous consumer transaction–sales time series International Journal of Forecasting. 36: 552-569 |
West M. (2020) Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions Annals of the Institute of Statistical Mathematics. 72: 1-31 |
Crawford L, Flaxman SR, Runcie DE, et al. (2019) VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY. The Annals of Applied Statistics. 13: 958-989 |
Irie K, West M. (2019) Bayesian Emulation for Multi-Step Optimization in Decision Problems Bayesian Analysis. 14: 137-160 |
Berry LR, West M. (2019) Bayesian Forecasting of Many Count-Valued Time Series Journal of Business & Economic Statistics. 1-15 |
Chen X, Banks D, West M. (2019) Bayesian dynamic modeling and monitoring of network flows Network Science. 7: 292-318 |
McAlinn K, West M. (2019) Dynamic Bayesian predictive synthesis in time series forecasting Journal of Econometrics. 210: 155-169 |
Chen X, Irie K, Banks D, et al. (2018) Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data Journal of the American Statistical Association. 113: 519-533 |
Gruber LF, West M. (2017) Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models Econometrics and Statistics. 3: 3-22 |
Gruber L, West M. (2016) GPU-accelerated Bayesian learning and forecasting in simultaneous graphical dynamic linear models Bayesian Analysis. 11: 125-149 |