Vol. 81, No. 1, Special issue Statistics on non-Euclidean Spaces and Manifolds (February 2019), pp. 83-103 (21 pages) Regression models for size-and-shape analysis are developed, where the model is ...
Some say that if you can’t measure something, you’re not doing science. Bayesian logic offers a way to measure things that were previously unmeasurable, allowing us to test hypotheses and predictions ...
Bayesian methods for dynamic models in marketing have so far been parametric. For instance, it is invariably assumed that model errors emerge from normal distributions. Yet using arbitrary ...
Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...
Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs).
Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results