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Seminars in Statistics Laura Ventura (University of Padua)

Robust Approximate Bayesian Inference The likelihood function is the basis of both frequentist and Bayesian methods. However, the stability of likelihood-based procedures requires strict adherence to the model assumptions: mild…

Seminars in Economics Paolo Guasoni (Dublin City University)

"Healthcare and Consumption with Aging" Abstract Health-care benefits individuals by slowing the natural growth of mortality, indirectly increasing utility through consumption over a longer lifetime. This paper solves the problem…

Seminars in Statistics Richard Nickl (University of Cambridge)

Nonparametric Bayesian inference for discretely sampled diffusions We consider the nonlinear statistical inverse problem ofmaking inference on the unknown parameters of a diffusion processdescribing the solution of a stochastic differential…