Measure Theory Applications to Stochastic Analysis
β Scribed by G. & KOLZOW, D. eds. KALLIANPUR
- Book ID
- 127448409
- Publisher
- Springer-Verlag
- Year
- 1978
- Tongue
- English
- Weight
- 2 MB
- Category
- Library
- ISBN
- 0387090983
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Analysis of stochastic processes governed by the Langevin equation is discussed. The analysis is based on a general method for non-parametric estimation of deterministic and random terms of the Langevin equation directly from given data. Separate estimation of the terms corresponds to decomposition
## Abstract Alternative procedures for representing a stochastic signal as a denumerable series with uncorrelated terms are developed. The study includes considerations about parametric rescaling and its repercussions on the orthogonal expansion, as well as numerical techniques for approaching such