Improved estimation via model selection method for semimartingale regressions based on discrete data

09/16/2019
by   Evgeny A. Pchelintsev, et al.
0

We consider the robust adaptive nonparametric estimation problem for a periodic function observed in the framework of a continuous time regression model with semimartingale noises.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/11/2018

Adaptive model selection method for a conditionally Gaussian semimartingale regression in continuous time

This paper considers the problem of robust adaptive efficient estimating...
research
12/15/2017

Oracle inequalities for the stochastic differential equations

This paper is a survey of recent results on the adaptive robust non para...
research
10/29/2017

Robust adaptive efficient estimation for a semi-Markov continuous time regression from discrete data

In this article we consider the nonparametric robust estimation problem ...
research
02/17/2021

Joint Continuous and Discrete Model Selection via Submodularity

In model selection problems for machine learning, the desire for a well-...
research
06/17/2021

Generalized regression operator estimation for continuous time functional data processes with missing at random response

In this paper, we are interested in nonparametric kernel estimation of a...
research
10/25/2017

Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation

We consider a stochastic individual-based model in continuous time to de...
research
03/08/2022

Data adaptive RKHS Tikhonov regularization for learning kernels in operators

We present DARTR: a Data Adaptive RKHS Tikhonov Regularization method fo...

Please sign up or login with your details

Forgot password? Click here to reset