Advanced search
Start date

Positive definite kernels applied to probability and statistics: MMD, HSIC and point process


In this research project, we aim to develop, apply and improve techniques from approximation theory to problems in statistics and probability, with an emphasis on positive definite kernels. Among the problems we aim to analyze is metrics in probability, independence tests, and conditional independence tests. We also want to develop techniques to analyze the relations between point processes on general spaces using positive definite kernels, with an emphasis on hyperbolic spaces. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
More itemsLess items

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GUELLA, JEAN CARLO. Generalization of the HSIC and distance covariance using PDI kernels. BANACH JOURNAL OF MATHEMATICAL ANALYSIS, v. 17, n. 4, p. 53-pg., . (21/04226-0, 22/00008-0)

Please report errors in scientific publications list using this form.