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Víctor Elvira is a Fellow at The University of Edinburgh, affiliated with the MATH department. His research interests are not specified in the available information. He can be contacted via email at victor.elvira@ed.ac.uk, and his profile page is accessible at https://www.maths.ed.ac.uk/school-of-mathematics/people/academic-staff?person=759.


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Víctor Elvira is a Professor in Statistics and Data Science at the University of Edinburgh, specializing in Bayesian inference, computational statistics, and Monte Carlo methods. His research focuses on developing and applying advanced statistical techniques for signal processing and climate modeling. Elvira's work includes adaptive importance sampling, multiple importance sampling, and parallel MCMC methods, with applications in areas such as urban mobility and ecological time-series analysis. His publications explore efficient sampling strategies, convergence assessment, and the improvement of population Monte Carlo methods, contributing significantly to the fields of statistical signal processing and computational statistics.

Source: google_scholar · 94 words
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