On Free Stochastic Processes and their Derivatives

By Daniel Alpay, Palle E. T. Jorgensen, Guy Salomon. 2013

48 citations recorded by the source corpus.

Abstract We study a family of free stochastic processes whose covariance kernels K may be derived as a transform of a tempered measure σ . These processes arise, for example, in consideration of non-commutative analysis involving free probability. Hence our use of semi-circle distributions, as opposed to Gaussians. In this setting we find an orthonormal basis in the corresponding non-commutative L 2 of sample-space. We define a stochastic integral for our family of free processes.

Subfields: Applied Mathematics, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4b0ef4bc34d5d6bdcbfb0d14350ba623a0b5c98c

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In Applied Mathematics

  1. Fabrizio Colombo
  2. Irene Sabadini
  3. Daniel Alpay
  4. Daniele C. Struppa
  5. Guy Salomon
  6. Caterina Stoppato
  7. Graziano Gentili
  8. Riccardo Ghiloni

In Finance

  1. Daniel Alpay

In Statistics and Probability

  1. Daniel Alpay
  2. Guy Salomon

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