Perspectives on Constrained Forecasting
Author:
Affiliation:
1. Department of Statistical Science, Duke University, Durham NC 27708, U.S.A
Publisher
Institute of Mathematical Statistics
Subject
Applied Mathematics,Statistics and Probability
Reference42 articles.
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3. Berry, L. R. and West, M. (2020). “Bayesian forecasting of many count-valued time series.” Journal of Business and Economic Statistics, 38: 872–887.
4. Bonassi, F. V. and West, M. (2015). “Sequential Monte Carlo with adaptive weights for approximate Bayesian computation.” Bayesian Analysis, 10: 171–187.
5. Chen, C. W. S. and Lee, S. (2017). “Bayesian causality test for integer-valued time series models with applications to climate and crime data.” Journal of the Royal of Statistical Society (Series C: Applied Statistics), 66: 797–814.
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