Change detection for uncertain autoregressive dynamic models through nonparametric estimation
نویسندگان
چکیده
منابع مشابه
Nonparametric Estimation of Volatility Models with General Autoregressive Innovations
We are interested in modeling a zero mean heteroscedastic time series process with autoregressive error process of finite known order p. The model can be used for testing a martingale difference sequence hypothesis that is often adopted uncritically in financial time series against a fairly general alternative. When the argument is deterministic, we provide an innovative nonparametric estimator...
متن کاملOn nonergodicity for nonparametric autoregressive models
*Correspondence: [email protected] School of Science, Jiangxi University of Science and Technology, Ganzhou, 341000, China Abstract In this paper, we introduce a class of nonlinear time series models with random time delay under random environment, sufficient conditions for nonergodicity of these models are developed. The so-called Markovnization methods are used, that is, proper supplem...
متن کاملNonparametric Estimation of Dynamic Panel Models
This paper investigates stationary β-mixing dynamics in nonlinear panel models and develops nonparametric estimation of dynamic panel models using series approximations. We extend the standard linear dynamic panel model to a nonparametric form that maintains additive fixed effects. Convergence rates and the asymptotic distribution of the series estimator are derived, in which an asymptotic bias...
متن کاملAutoregressive coefficient estimation in nonparametric analysis
The article considers the Yule-Walker estimator of the autoregressive coefficient based on the observed time series that contains an unknown trend function and an autoregressive error term. The trend function is estimated by means of B-splines and then subtracted from the observations. The Yule-Walker estimator is obtained from the residual sequence. Asymptotic properties of this estimator are ...
متن کاملDynamic Frailty and Change Point Models for Recurrent Events Data
Abstract. We present a Bayesian analysis for recurrent events data using a nonhomogeneous mixed Poisson point process with a dynamic subject-specific frailty function and a dynamic baseline intensity func- tion. The dynamic subject-specific frailty employs a dynamic piecewise constant function with a known pre-specified grid and the baseline in- tensity uses an unknown grid for the piecewise ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistical Methodology
سال: 2016
ISSN: 1572-3127
DOI: 10.1016/j.stamet.2016.08.003