Free-knot spline approximation of stochastic processes

نویسندگان

  • Jakob Creutzig
  • Thomas Müller-Gronbach
  • Klaus Ritter
چکیده

We study optimal approximation of stochastic processes by polynomial splines with free knots. The number of free knots is either a priori fixed or may depend on the particular trajectory. For the s-fold integrated Wiener process as well as for scalar diffusion processes we determine the asymptotic behavior of the average Lp-distance to the splines spaces, as the (expected) number k of free knots tends to infinity.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On monotone and convex approximation by splines with free knots

We prove that the degree of shape preserving free knot spline approximation in L p a; b], 0 < p 1 is essentially the same as that of the non-constrained case. This is in sharp contrast to the well known phenomenon we have in shape preserving approximation by splines with equidistant knots and by polynomials. The results obtained are valid both for piecewise polynomials and for smooth splines wi...

متن کامل

Convexity Preserving Approximation by Free Knot Splines

In this paper we study the order of shape preserving approximation of functions f in Sobolev space by free knot splines. The main result is that we can preserve k-convexity of f for general k, and retain the optimal order of approximation n ?r at the same time.

متن کامل

Degree of Adaptive Approximation

We obtain various estimates for the error in adaptive approximation and also establish a relationship between adaptive approximation and free-knot spline approximation.

متن کامل

Parameter Estimation of Stochastic Differential Equation

Non-parametric modeling is a method which relies heavily on data and motivated by the smoothness properties in estimating a function which involves spline and non-spline approaches. Spline approach consists of regression spline and smoothing spline. Regression spline with Bayesian approach is considered in the first step of a two-step method in estimating the structural parameters for stochasti...

متن کامل

Free Knot Polynomial Spline Confidence Intervals

We construct approximate confidence intervals for a nonparametric regression function. The construction uses polynomial splines with free knot locations. The number of knots is determined by the GCV criteria. The estimates of knot locations and coefficients are obtained through a nonlinear least square solution that corresponds to the maximum likelihood estimate. Confidence intervals are then c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Complexity

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2007