Modules running in the period selected: 18.
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Name | Online |
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Activities PhD Course In Economics and Management (35° ciclo - PhD in Economics and Management) |
Topic | Description | Research area |
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MSC 62F15 - Bayesian inference | Bayesian theory of function estimation in nonparametric statistical models, including the study of credible sets to provide a data-driven quantification of the uncertainty for point estimators. Analysis also covers inverse problems, such as deconvolution, wherein the object of interest has to be recovered from indirect noisy observations. |
Quantitative Methods for Economics
Parametric inference |
MSC 62G20 - Asymptotic properties | Analysis of likelihood-based procedures: - consistency and rates of convergence of nonparametric maximum likelihood estimators in Hellinger distance; - theory of frequentist asymptotic properties for nonparametric Bayes procedures, including general contraction rate results for posterior distributions, adaptive estimation and coverage properties of nonparametric credible sets. |
Quantitative Methods for Economics
Nonparametric inference |