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Towards a general theory for non-linear locally stationary processes
v1v2v3 (latest)

Towards a general theory for non-linear locally stationary processes

10 April 2017
R. Dahlhaus
S. Richter
Wei Biao Wu
ArXiv (abs)PDFHTML

Papers citing "Towards a general theory for non-linear locally stationary processes"

13 / 13 papers shown
Title
On the partial autocorrelation function for locally stationary time
  series: characterization, estimation and inference
On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference
Xiucai Ding
Zhou Zhou
67
2
0
28 Jan 2024
Inference for Non-Stationary Heavy Tailed Time Series
Inference for Non-Stationary Heavy Tailed Time Series
Fumiya Akashi
K. Fokianos
Junichi Hirukawa
98
0
0
21 Dec 2022
Simultaneous Sieve Inference for Time-Inhomogeneous Nonlinear Time
  Series Regression
Simultaneous Sieve Inference for Time-Inhomogeneous Nonlinear Time Series Regression
Xiucai Ding
Zhou Zhou
AI4TS
37
2
0
16 Dec 2021
Empirical process theory for nonsmooth functions under functional
  dependence
Empirical process theory for nonsmooth functions under functional dependence
Nathawut Phandoidaen
S. Richter
40
1
0
19 Aug 2021
On the estimation of locally stationary functional time series
On the estimation of locally stationary functional time series
Daisuke Kurisu
60
6
0
25 May 2021
Nonparametric regression for locally stationary functional time series
Nonparametric regression for locally stationary functional time series
Daisuke Kurisu
77
10
0
17 May 2021
Empirical process theory for locally stationary processes
Empirical process theory for locally stationary processes
Nathawut Phandoidaen
S. Richter
58
7
0
11 Jul 2020
Contrast estimation of general locally stationary processes using
  coupling
Contrast estimation of general locally stationary processes using coupling
Jean‐Marc Bardet
P. Doukhan
Olivier Wintenberger
32
11
0
15 May 2020
Nonparametric regression for locally stationary random fields under
  stochastic sampling design
Nonparametric regression for locally stationary random fields under stochastic sampling design
Daisuke Kurisu
64
14
0
13 May 2020
Deviation inequalities for separately Lipschitz functionals of
  composition of random functions
Deviation inequalities for separately Lipschitz functionals of composition of random functions
J. Dedecker
P. Doukhan
Xiequan Fan
41
5
0
03 Jul 2019
Efficient semiparametric estimation in time-varying regression models
Efficient semiparametric estimation in time-varying regression models
Lionel Truquet
23
2
0
17 Jul 2017
A perturbation analysis of some Markov chains models with time-varying
  parameters
A perturbation analysis of some Markov chains models with time-varying parameters
Lionel Truquet
21
3
0
10 Jun 2017
Cross validation for locally stationary processes
Cross validation for locally stationary processes
S. Richter
R. Dahlhaus
71
26
0
29 May 2017
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