Inverse covariance operators of multivariate nonstationary time series
From MaRDI portal
Publication:6201845
DOI10.3150/23-bej1628arXiv2202.00933OpenAlexW4391458273WikidataQ128886103 ScholiaQ128886103MaRDI QIDQ6201845
Jonas Krampe, Suhasini Subba Rao
Publication date: 26 March 2024
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2202.00933
local stationarityhigh-dimensional time seriespartial covarianceBaxter's inequalityautoregressive parameters
Cites Work
- Unnamed Item
- Unnamed Item
- Regularized estimation in sparse high-dimensional time series models
- Nonparametric regression for locally stationary time series
- Local linear quantile estimation for nonstationary time series
- Baxter's inequality and convergence of finite predictors of multivariate stochastic processes
- Fitting time series models to nonstationary processes
- Towards a general theory for nonlinear locally stationary processes
- A likelihood approximation for locally stationary processes
- Bootstrap based inference for sparse high-dimensional time series models
- Simultaneous inference for time-varying models
- Estimation and inference for precision matrices of nonstationary time series
- Local stationarity and time-inhomogeneous Markov chains
- Nonparametric quasi-maximum likelihood estimation for Gaussian locally stationary processes
- Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models
- Statistical inference for time-varying ARCH processes
- Convergence of covariance and spectral density estimates for high-dimensional locally stationary processes
- On some nonstationary, nonlinear random processes and their stationary approximations
- Decay Rates for Inverses of Band Matrices
- Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes
- Estimating wold matrices and vector moving average processes
- Sparsity concepts and estimation procedures for high‐dimensional vector autoregressive models
- On the Vector Autoregressive Sieve Bootstrap
- The Generalized Dynamic Factor Model
- Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models
- Time Series
- Graphical interaction models for multivariate time series.
- Autoregressive approximations to nonstationary time series with inference and applications
This page was built for publication: Inverse covariance operators of multivariate nonstationary time series