Expressions are given for the information matrix of the parameters of the multiple-input single-output time series model for correlated and uncorrelated inputs, allowing lags between inputs. The model under consideration is a generalization of the multiple-regression model with autocorrelated errors, the transfer function model and the autoregressive moving average exogenous (ARMAX) model. The elements of the Fisher matrix are evaluated using algorithms developed for the univariate ARMA model.info:eu-repo/semantics/publishe
We establish a relation between Fisher's information matrix of a stationary autoregressive moving av...
This paper gives a procedure for evaluating the Fisher information matrix for a general multiplicati...
A matrix is called a multiple resultant matrix associated to two matrix polynomials when it becomes ...
AbstractExpressions are given for the information matrix of the parameters of the multiple-input sin...
AbstractExpressions are given for the information matrix of the parameters of the multiple-input sin...
AbstractClosed form matrix equations are given for the information matrix of the parameters of the v...
Numerous time series admit weak autoregressive-moving average (ARMA) representations, in which the e...
The principal result in this paper is concerned with the derivative of a vector with respect to a bl...
Numerous time series admit weak autoregressive-moving average (ARMA) representations, in which the e...
AbstractThis paper introduces several forms of relationships between Fisher's information matrix of ...
In this paper, the computation of the exact Fisher information matrix of a large class of Gaussian t...
The Fisher information matrix is of fundamental importance for the analysis of parameter estimation ...
AbstractThe purpose of this paper is to set forth easily implementable expressions for the Fisher in...
The paper presents an algorithm for computing the asymptotic Fisher information matrix of a possibly...
The paper presents an algorithm for computing the asymptotic Fisher information matrix of a possibly...
We establish a relation between Fisher's information matrix of a stationary autoregressive moving av...
This paper gives a procedure for evaluating the Fisher information matrix for a general multiplicati...
A matrix is called a multiple resultant matrix associated to two matrix polynomials when it becomes ...
AbstractExpressions are given for the information matrix of the parameters of the multiple-input sin...
AbstractExpressions are given for the information matrix of the parameters of the multiple-input sin...
AbstractClosed form matrix equations are given for the information matrix of the parameters of the v...
Numerous time series admit weak autoregressive-moving average (ARMA) representations, in which the e...
The principal result in this paper is concerned with the derivative of a vector with respect to a bl...
Numerous time series admit weak autoregressive-moving average (ARMA) representations, in which the e...
AbstractThis paper introduces several forms of relationships between Fisher's information matrix of ...
In this paper, the computation of the exact Fisher information matrix of a large class of Gaussian t...
The Fisher information matrix is of fundamental importance for the analysis of parameter estimation ...
AbstractThe purpose of this paper is to set forth easily implementable expressions for the Fisher in...
The paper presents an algorithm for computing the asymptotic Fisher information matrix of a possibly...
The paper presents an algorithm for computing the asymptotic Fisher information matrix of a possibly...
We establish a relation between Fisher's information matrix of a stationary autoregressive moving av...
This paper gives a procedure for evaluating the Fisher information matrix for a general multiplicati...
A matrix is called a multiple resultant matrix associated to two matrix polynomials when it becomes ...