AbstractBounds for higher-order cumulants of statistics arising from a linear time series regression model are investigated. A result given in Brillinger is proved and extended. The bounds permit derivation of asymptotic moments and asymptotic normality for estimators of parameters in the model. Two examples are given as illustrations
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
This paper considers estimation and hypothesis testing in linear time series models when some or all...
Asymptotic cumulants of functions of multinomial sample proportions with and without studentization ...
AbstractBounds for higher-order cumulants of statistics arising from a linear time series regression...
Abstract. This paper provides a uni\u85ed and comprehensive approach that is useful in deriving expr...
Abstract. This paper provides a uni\u85ed and comprehensive approach that is useful in deriving expr...
Abstract. This paper provides a unified and comprehensive approach that is useful in deriving expres...
This paper provides a unified and comprehensive approach that is useful in deriving expressions for ...
AbstractThe asymptotic normality of some spectral estimates, including a functional central limit th...
The asymptotic cumulants of the parameter estimators for the three-parameter logistic model in item ...
Key words and Phrases: cumulant, empirical characteristic function, Lévy process, self-decomposable ...
Consider a stationary sequence of random variables with in¯nitely divisible marginal law, characteri...
We compute the exact asymptotics for the cumulants of linear statistics associated with the zeros co...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
This paper considers estimation and hypothesis testing in linear time series models when some or all...
Asymptotic cumulants of functions of multinomial sample proportions with and without studentization ...
AbstractBounds for higher-order cumulants of statistics arising from a linear time series regression...
Abstract. This paper provides a uni\u85ed and comprehensive approach that is useful in deriving expr...
Abstract. This paper provides a uni\u85ed and comprehensive approach that is useful in deriving expr...
Abstract. This paper provides a unified and comprehensive approach that is useful in deriving expres...
This paper provides a unified and comprehensive approach that is useful in deriving expressions for ...
AbstractThe asymptotic normality of some spectral estimates, including a functional central limit th...
The asymptotic cumulants of the parameter estimators for the three-parameter logistic model in item ...
Key words and Phrases: cumulant, empirical characteristic function, Lévy process, self-decomposable ...
Consider a stationary sequence of random variables with in¯nitely divisible marginal law, characteri...
We compute the exact asymptotics for the cumulants of linear statistics associated with the zeros co...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
We summarize our previous results on cumular expasions for linear stochastic differential equations ...
This paper considers estimation and hypothesis testing in linear time series models when some or all...
Asymptotic cumulants of functions of multinomial sample proportions with and without studentization ...