Simultaneous inference for time-varying models
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Publication:2116345
DOI10.1016/j.jeconom.2021.03.002OpenAlexW3143236546MaRDI QIDQ2116345
Publication date: 16 March 2022
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.13157
bootstrapgeneralized linear modelsGaussian approximationsimultaneous confidence bandtime-series modelstime-varying regression
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Related Items (6)
Bayesian modelling of time-varying conditional heteroscedasticity ⋮ Time-varying multivariate causal processes ⋮ Autoregressive approximations to nonstationary time series with inference and applications ⋮ A bootstrap functional central limit theorem for time-varying linear processes ⋮ Sieve bootstrap inference for linear time-varying coefficient models ⋮ Inverse covariance operators of multivariate nonstationary time series
Uses Software
Cites Work
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- Neglecting parameter changes in GARCH models
- Trending time-varying coefficient time series models with serially correlated errors
- Monitoring disruptions in financial markets
- Empirical spectral processes for locally stationary time series
- Inference of time-varying regression models
- Local polynomial fitting in semivarying coefficient model
- Local linear quantile estimation for nonstationary time series
- Asymptotic theory of a test for the constancy of regression coefficients against the random walk alternative
- A new test for structural stability in the linear regression model
- Testing parameter constancy in linear models against stochastic stationary parameters
- Statistical methods in finance
- Change-point estimation in ARCH models
- Statistical estimation in varying coefficient models
- Gaussian approximation for high dimensional time series
- Towards a general theory for nonlinear locally stationary processes
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Generalized autoregressive conditional heteroscedasticity
- Time-varying nonlinear regression models: nonparametric estimation and model selection
- High moment partial sum processes of residuals in GARCH models and their applications
- Normalized least-squares estimation in time-varying ARCH models
- A comparison of the Lee-Carter model and AR-ARCH model for forecasting mortality rates
- Functional data analysis.
- Statistical inference for time-varying ARCH processes
- A time varying \(\mathrm{GARCH}(p,q)\) model and related statistical inference
- Simultaneous Confidence Bands and Hypothesis Testing in Varying-coefficient Models
- Gaussian approximations for non-stationary multiple time series
- Tests for Parameter Instability and Structural Change With Unknown Change Point
- Tests of Equality Between Sets of Coefficients in Two Linear Regressions
- On the distribution of some test statistics for coefficient constancy
- Testing for the Constancy of Parameters Over Time
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Testing and Locating Variance Changepoints with Application to Stock Prices
- On the Cusum test for parameter changes in garch(1,1) Models
- Simultaneous Inference of Linear Models with Time Varying Coefficients
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Detecting parameter shift in garch models
- Optimal Gaussian Approximation For Multiple Time Series
- Nonparametric estimation of a time-varying GARCH model
- Bootstrapping Locally Stationary Processes
- Nonlinear system theory: Another look at dependence
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