Daniela Calvetti
Daniela Calvetti is an Italian-American applied mathematician whose work concerns scientific computing, and connects Bayesian statistics to numerical analysis.[1] She is the James Wood Williamson Professor of Mathematics at Case Western Reserve University.
Education and career[]
Calvetti earned a laurea in mathematics at the University of Bologna in 1980. She went to the University of North Carolina at Chapel Hill for graduate study in mathematics, earning a master's degree there in 1985 and completing her Ph.D. in 1989.[2] Her dissertation, A Stochastic Round Off Error Analysis for the Fast Fourier Transform, was supervised by John Tolle.[3]
After taking faculty positions at North Carolina State University, Colorado State University–Pueblo, and the Stevens Institute of Technology, she moved to Case Western Reserve University in 1997. She was given the James Wood Williamson Professorship in 2013.[2]
Books[]
With Erkki Somersalo, Calvetti is the co-author of two books, Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing (Springer, 2007)[4] and Computational Mathematical Modeling: An Integrated Approach Across Scales (SIAM, 2013).[5]
References[]
- ^ "Case Western Reserve mathematician tells how to pair Bayesian statistics with scientific computing", Case News, March 10, 2008
- ^ Jump up to: a b Curriculum vitae (PDF), January 2019, retrieved 2019-09-02
- ^ Daniela Calvetti at the Mathematics Genealogy Project
- ^ Review of Introduction to Bayesian Scientific Computing:
- Ascher, Uri (2009), The Mathematical Intelligencer, 31 (1): 73–74, doi:10.1007/s00283-008-9005-y, MR 2480803, S2CID 117797058CS1 maint: untitled periodical (link)
- ^ Reviews of Computational Mathematical Modeling:
External links[]
- Home page
- Daniela Calvetti publications indexed by Google Scholar
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