Frequency Detection and Change Point Estimation for Time Series of Complex Oscillation
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Publication:6631695
DOI10.1080/01621459.2023.2229486MaRDI QIDQ6631695
Publication date: 1 November 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
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Cites Work
- Title not available (Why is that?)
- On maxima of periodograms of stationary processes
- Uniform change point tests in high dimension
- The multiple change-points problem for the spectral distribution
- Gaussian approximation for high dimensional time series
- Gaussian approximation for high dimensional vector under physical dependence
- Relevant change points in high dimensional time series
- The maximum of the periodogram of a non-Gaussian sequence.
- Asymptotic analysis of higher-order scattering transform of Gaussian processes
- Intermittent process analysis with scattering moments
- Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
- Inference of weighted \(V\)-statistics for nonstationary time series and its applications
- Detecting abrupt changes in a piecewise locally stationary time series
- Ten Lectures on Wavelets
- Time-Dependent Spectral Analysis of Nonstationary Time Series
- A test for second-order stationarity of a time series based on the discrete Fourier transform
- Statistical Inference for Evolving Periodic Functions
- Heteroscedasticity and Autocorrelation Robust Structural Change Detection
- Detection of Multiple Structural Breaks in Multivariate Time Series
- Non-Parametric and Adaptive Modelling of Dynamic Periodicity and Trend with Heteroscedastic and Dependent Errors
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