Parameter Estimation for a Hilbert Space-valued Stochastic Differential Equation ?$\pm$

  • Published : 2002.09.01

Abstract

We deal with asymptotic properties of Maximum Likelihood Estimator(MLE) for the parameters appearing in a Hilbert space-valued Stochastic Differential Equation(SDE) and a Stochastic Partial Differential Equation(SPDE). In paractice, the available data are only the finite dimensional projections to the solution of the equation. Using these data we obtain MLE and consider the asymptotic properties as the dimension of projections increases. In particular we explore a relationship between the conditions for the solution and asymptotic properties of MLE.

Keywords

References

  1. Technical Report 373 On interacting systems of Hilbert space valued diffusions Bhatt, A.G.;Kallianpur, G.;Karandikar, R.L.;Xiong, J.
  2. Stochastic Processes Two examples of parameter estimation Huebner, M.;Khasminskii, R.;Rozovskii, B.;Cambanis(eds.);Ghosh(eds.);karandikar(eds.);Sen(eds.)
  3. Limit Theorems for Stochastic Processes Jacod, J.;Shiryaev, A.N.
  4. Theory of Probability and Its Applications v.43 A curious example form statistical differential geometry Kallianpur,G.;Kim, Y.T. https://doi.org/10.1137/S0040585X97976659
  5. Journal of the Korean Statistical Society v.29 Parameter estimation for a Hilbert spacevalued stochastic differential equation Kim, Y.T.;Lee, K.W.
  6. Theory of Martingales Liptser, R. Sh.;Shiryayev, A.N.
  7. Probability Shiryaev, A.N.