zbMath0641.93002MaRDI QIDQ4039983
E. J. Hannan, Manfred Deistler
Publication date: 5 June 1993
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
The Relationship Between the Beveridge–Nelson Decomposition and Exponential Smoothing ⋮
CHECKING STATIONARITY AND INVERTIBILITY IN TIME SERIES MODELS—FINDING THE INVERTIBLE FORM IN THE VECTOR CASE ⋮
ON THE INVERTIBILITY OF MULTIVARIATE LINEAR PROCESSES ⋮
Bootstrap estimates of the sample bivariate autocorrelation and partial autocorrelation distributions ⋮
TRANSFER FUNCTION ESTIMATION ⋮
AN INNOVATION STATE SPACE APPROACH FOR TIME SERIES FORECASTING ⋮
Stable spectral factorization with applications to the estimation of time series models ⋮
On causal and non‐causal cointegrated vector autoregressive time series ⋮
Generalized Kernel Regression Estimate for the Identification of Hammerstein Systems ⋮
IDENTIFIABILITY OF RECURRENT NEURAL NETWORKS ⋮
Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models ⋮
The vector innovations structural time series framework ⋮
Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form ⋮
A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models ⋮
Nonlinearity Induced Weak Instrumentation ⋮
STATIONARY AND NON-STATIONARY STATE SPACE MODELS ⋮
ORDER IDENTIFICATION IN MISSPECIFIED AUTOREGRESSIVE TIME SERIES MODELS ⋮
RECURSIVE COMPUTATION OF THE PARAMETERS OF PERIODIC AUTOREGRESSIVE MOVING-AVERAGE PROCESSES ⋮
A NEW WAY TO ESTIMATE ORDERS IN TIME SERIES ⋮
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density ⋮
Explicit formulas for the inverses of Toeplitz matrices, with applications ⋮
ESTIMATION OF THE MULTIVARIATE AUTOREGRESSIVE MOVING AVERAGE HAVING PARAMETER RESTRICTIONS AND AN APPLICATION TO ROTATIONAL SAMPLING ⋮
A computational bootstrap procedure to compare two dependent time series ⋮
Representation theorems in finite prediction, with applications ⋮
VALIDATING DSGE MODELS WITH SVARS AND HIGH-DIMENSIONAL DYNAMIC FACTOR MODELS ⋮
On statistical properties of the estimator of impulse response function ⋮
Gaussian linear state‐space model for wind fields in the North‐East Atlantic ⋮
Identification and Estimation of Structural VARMA Models Using Higher Order Dynamics ⋮
ON THE RELATIONSHIP BETWEEN GENERALIZED LEAST SQUARES AND GAUSSIAN ESTIMATION OF VECTOR ARMA MODELS ⋮
Wavelet estimation of functional coefficient regression models ⋮
State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI ⋮
Hyper-spherical and elliptical stochastic cycles ⋮
Statistical hypothesis testing for the shape of impulse response function ⋮
Nonparametric instrumental variables for identification of block-oriented systems ⋮
Computing the Exact Fisher Information Matrix of Periodic State-Space Models ⋮
A new paradigm for parameter estimation in system modeling ⋮
OPENING THE BLACK BOX: STRUCTURAL FACTOR MODELS WITH LARGE CROSS SECTIONS ⋮
Least-squares estimation of input/output models for distributed linear systems in the presence of noise ⋮
Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates ⋮
Numerical computation of asymptotic covariance matrix of the gaussian estimators for vector arrla models ⋮
THE SEQUENTIAL ESTIMATION OF SUBSET VAR WITH FORGETTING FACTOR AND INTERCEPT VARIABLE ⋮
Asymptotic error for \(L^2\) best rational approximants to Markov functions ⋮
Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models ⋮
Interpolating exogenous variables in continuous time dynamic models ⋮
Wiener–Kolmogorov Filtering and Smoothing for Multivariate Series With State–Space Structure ⋮
Informative sampling for multivariate ARMAX systems ⋮
Order estimation for subspace methods ⋮
Asymptotic and Bootstrap Inference for AR(∞) Processes with Conditional Heteroskedasticity ⋮
On the reduced-rank model with leading index ⋮
On consistent testing for serial correlation in seasonal time series models ⋮
On continuity and consistency of \(\ell_{\infty}\) optimal models ⋮
HIGHER-ORDER ACCURATE, POSITIVE SEMIDEFINITE ESTIMATION OF LARGE-SAMPLE COVARIANCE AND SPECTRAL DENSITY MATRICES ⋮
On the multivariable approximate stochastic realization problem ⋮
Bootstrapping unit root tests for integrated processes ⋮
ESTIMATION OF THE VECTOR MOVING AVERAGE MODEL BY VECTOR AUTOREGRESSION ⋮
Robust and powerful serial correlation tests with new robust estimates in ARX models ⋮
A Note on the Specification and Estimation of ARMAX Systems ⋮
Testing the Fit of a Vector Autoregressive Moving Average Model ⋮
Comparing the CCA Subspace Method to Pseudo Maximum Likelihood Methods in the case of No Exogenous Inputs ⋮
Single and multiple error state-space models for signal extraction ⋮
Linear bootstrap methods for vector autoregressive moving-average models ⋮
Reducing size distortions of parametric stationarity tests ⋮
AN ANALYSIS OF ASIAN MARKET INTEGRATION PRE- AND POST-CRISIS ⋮
On testing for multivariate ARCH effects in vector time series models ⋮
Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets ⋮
Forecasting linear dynamical systems using subspace methods ⋮
Solutions of Yule-Walker equations for singular AR processes ⋮
Estimating wold matrices and vector moving average processes ⋮
On the numerical evaluation of the theoretical variance‐covariance matrix of least squares estimators for echelon‐form varma models ⋮
On the Vector Autoregressive Sieve Bootstrap ⋮
Unnamed Item ⋮
A general inversion theorem for cointegration ⋮
Predictability, real time estimation, and the formulation of unobserved components models ⋮
Semiparametric Sieve-Type Generalized Least Squares Inference ⋮
Strong convergence of estimators in nonlinear autoregressive models ⋮
Book review of: J. Casals et al., State-space methods for time series analysis. Theory, applications and software ⋮
Whittle estimation for continuous-time stationary state space models with finite second moments ⋮
Dirichlet ARMA models for compositional time series ⋮
Determination of cointegrating rank in partially non‐stationary processes via a generalised von‐Neumann criterion ⋮
An analysis of the parametrization by data driven local coordinates for multivariable linear systems ⋮
UNIT ROOTS IN WHITE NOISE ⋮
Data driven local coordinates for multivariable linear systems and their application to system identification ⋮
Recursive Monte Carlo filters: algorithms and theoretical analysis ⋮
Basic structure of the asymptotic theory in dynamic nonlineaerco nometric models, part i: consistency and approximation concepts ⋮
A generalized least squares estimation method for the autoregressive conditional duration model ⋮
Basic structure of the asymptotic theory in dynamic nonlinear econometric models ⋮
From simple to complicated: Noncausal bounded input, bounded output stability in linear discrete time models in the deterministic and stochastic cases ⋮
Empirical Bayes identification of stationary processes and approximation of Toeplitz spectra ⋮
Convergence of the least-squares method with a polynomial regularizer for the infinite-dimensional autoregression equation ⋮
Estimating the adjustment coefficient in an ARMA\((p,q)\) risk model ⋮
Efficient Estimation for Semi-varying Coefficient Model with An Invertible Linear Process Error ⋮
Moving-average representation of autoregressive approximations ⋮
A STATE SPACE TIME SERIES MODELLING METHOD WITHOUT INDIVIDUAL DETRENDING ⋮
ESTIMATION OF THE MOVING-AVERAGE REPRESENTATION OF A STATIONARY PROCESS BY AUTOREGRESSIVE MODEL FITTING ⋮
Consistency and relative efficiency of subspace methods ⋮
Relations between information criteria for model-structure selection Part 1. The role of bayesian model order estimation ⋮
Convergence of covariance and spectral density estimates for high-dimensional locally stationary processes ⋮
Selection of weak VARMA models by modified Akaike's information criteria ⋮
VARMA representation of DSGE models ⋮
The misspecification of dynamic regression models
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