Graphical models for nonstationary time series
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Publication:6183745
DOI10.1214/22-aos2205arXiv2109.08709OpenAlexW3199330397MaRDI QIDQ6183745
Sumanta Basu, Suhasini Subba Rao
Publication date: 4 January 2024
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.08709
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Ridge regression; shrinkage estimators (Lasso) (62J07) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
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- Regularized estimation in sparse high-dimensional time series models
- Sparse inverse covariance estimation with the graphical lasso
- Predictive, finite-sample model choice for time series under stationarity and non-stationarity
- Granger causality and path diagrams for multivariate time series
- Testing temporal constancy of the spectral structure of a time series
- Local linear quantile estimation for nonstationary time series
- Shrinkage estimation in the frequency domain of multivariate time series
- Gaussian approximation for high dimensional time series
- Towards a general theory for nonlinear locally stationary processes
- A likelihood approximation for locally stationary processes
- On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime
- Estimation and inference for precision matrices of nonstationary time series
- Testing for stationarity of functional time series in the frequency domain
- Spectral analysis of high-dimensional time series
- A test for second order stationarity of a multivariate time series
- Nonparametric quasi-maximum likelihood estimation for Gaussian locally stationary processes
- On the network topology of variance decompositions: measuring the connectedness of financial firms
- Testing nonparametric and semiparametric hypotheses in vector stationary processes
- Statistical inference for time-varying ARCH processes
- High-dimensional graphs and variable selection with the Lasso
- Convergence of covariance and spectral density estimates for high-dimensional locally stationary processes
- Time‐Dependent Dual‐Frequency Coherence in Multivariate Non‐Stationary Time Series
- On some nonstationary, nonlinear random processes and their stationary approximations
- On the Optimal Segment Length for Parameter Estimates for Locally Stationary Time Series
- Estimation of Ambiguity Functions With Limited Spread
- Modeling and Estimation of Covariance of Replicated Modulated Cyclical Time Series
- ASYMPTOTIC THEORY FOR SPECTRAL DENSITY ESTIMATES OF GENERAL MULTIVARIATE TIME SERIES
- A Test for Second-Order Stationarity and Approximate Confidence Intervals for Localized Autocovariances for Locally Stationary Time Series
- On Wigner–Ville Spectra and the Uniqueness of Time‐Varying Copula‐Based Spectral Densities
- Stationary subspace analysis of nonstationary processes
- Costationarity of Locally Stationary Time Series
- A test for second-order stationarity of a time series based on the discrete Fourier transform
- Intrinsic Wavelet Regression for Curves of Hermitian Positive Definite Matrices
- Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)
- Joint Estimation of Multiple Graphical Models from High Dimensional Time Series
- Periodically and Almost-Periodically Correlated Random Processes with a Continuous Time Parameter
- The Maximum Deviation of Sample Spectral Densities
- Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models
- Time Series
- Graphical interaction models for multivariate time series.