DOIAbstract
Time series of counts, INGARCH model, ACP model, Overdispersion, Autocorrelation structure,
Time series of counts, INGARCH model, ACP model, Overdispersion, Autocorrelation structure,
Autoregressive-moving-average (ARMA) models are mathematical models of the persistence, or autocorre...
peer reviewedThe generalized autoregression model or GARM, originally used to model series of non-ne...
This paper compares two alternative models for autocorrelated count time series. The first model can...
Count time series, Parameter-driven, Observation-driven, Autocorrelation, Overdispersion, Diagnostic...
This paper introduces and evaluates new models for time series count data. The Autoregressive Condit...
This thesis deals with INGARCH models for a count time series. Main emphasis is placed on a linear I...
A new integer-valued moving average model is introduced. The assumption of independent counting seri...
It is common for time series of unbounded counts (that is, nonnegative integers) to display overdisp...
This paper introduces and evaluates new models for time series count data. The Autoregressive Condit...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
This chapter explores some count statis-tical models, which are tied to the phe-nomenon of over-/equ...
Recently there has been a growing interest in time series of counts/integer-valued time series. The ...
An adequate statistical methodology is required for modeling multivariate time series of counts. The...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
10.1016/j.csda.2012.04.011Computational Statistics and Data Analysis56124229-4242CSDA
Autoregressive-moving-average (ARMA) models are mathematical models of the persistence, or autocorre...
peer reviewedThe generalized autoregression model or GARM, originally used to model series of non-ne...
This paper compares two alternative models for autocorrelated count time series. The first model can...
Count time series, Parameter-driven, Observation-driven, Autocorrelation, Overdispersion, Diagnostic...
This paper introduces and evaluates new models for time series count data. The Autoregressive Condit...
This thesis deals with INGARCH models for a count time series. Main emphasis is placed on a linear I...
A new integer-valued moving average model is introduced. The assumption of independent counting seri...
It is common for time series of unbounded counts (that is, nonnegative integers) to display overdisp...
This paper introduces and evaluates new models for time series count data. The Autoregressive Condit...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
This chapter explores some count statis-tical models, which are tied to the phe-nomenon of over-/equ...
Recently there has been a growing interest in time series of counts/integer-valued time series. The ...
An adequate statistical methodology is required for modeling multivariate time series of counts. The...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
10.1016/j.csda.2012.04.011Computational Statistics and Data Analysis56124229-4242CSDA
Autoregressive-moving-average (ARMA) models are mathematical models of the persistence, or autocorre...
peer reviewedThe generalized autoregression model or GARM, originally used to model series of non-ne...
This paper compares two alternative models for autocorrelated count time series. The first model can...
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