Kengo Kamatani
Professor
The Institute of Statistical Mathematics
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About
Professor Kengo Kamatani is affiliated with The Institute of Statistical Mathematics in Japan. His research areas encompass the development of advanced sampling algorithms, with a focus on non-reversible guided Metropolis kernels and MCMC algorithms for posteriors on matrix spaces. His recent work also includes contributions to high-dimensional scaling limits and the HAAR-WEAVE-METROPOLIS kernel.
Articles (4)
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Collaborators (1)
Alexandros Beskos
Professor
University College London
UNITED KINGDOM
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