A new integer-valued moving average model is introduced. The assumption of independent counting series in the model is relaxed to allow dependence between them, leading to the overdispersion in the model. Statistical properties were established for this new integer-valued moving average model with dependent counting series. The Yule–Walker method was applied to estimate the model parameters. The estimator’s performance was evaluated using simulations, and the overdispersion test of the INMA(1) process was applied to examine the dependence between counting series
For modeling count time series data, one class of models is generalized integer autoregressive of or...
Integer-valued correlated stochastic processes, which we often meet in the real world, are of major...
Modelling counts of events can be found in several situations of real life. For instance, the number...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thin...
The Integer-valued Moving Average Model (INMA) is advanced to model the number of transactions in in...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thinn...
International audienceInteger autoregressive and moving average models have been developed over the ...
It is common for time series of unbounded counts (that is, nonnegative integers) to display overdisp...
Time series of counts, INGARCH model, ACP model, Overdispersion, Autocorrelation structure,
10.1016/j.csda.2012.04.011Computational Statistics and Data Analysis56124229-4242CSDA
This thesis comprises four papers concerning modelling of financial count data. Paper [1], [2] and [...
Time series of (small) counts are common in practice and appear in a wide variety of fields. In the ...
In this paper, a Poisson-Akash INAR(1) model was proposed in order to improve on the modelling of ov...
In the thesis the thinning operators used for modeling of time series of counts are studied. The mai...
A new stationary qth-order integer-valued moving average process with Poisson innovation is introduc...
For modeling count time series data, one class of models is generalized integer autoregressive of or...
Integer-valued correlated stochastic processes, which we often meet in the real world, are of major...
Modelling counts of events can be found in several situations of real life. For instance, the number...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thin...
The Integer-valued Moving Average Model (INMA) is advanced to model the number of transactions in in...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thinn...
International audienceInteger autoregressive and moving average models have been developed over the ...
It is common for time series of unbounded counts (that is, nonnegative integers) to display overdisp...
Time series of counts, INGARCH model, ACP model, Overdispersion, Autocorrelation structure,
10.1016/j.csda.2012.04.011Computational Statistics and Data Analysis56124229-4242CSDA
This thesis comprises four papers concerning modelling of financial count data. Paper [1], [2] and [...
Time series of (small) counts are common in practice and appear in a wide variety of fields. In the ...
In this paper, a Poisson-Akash INAR(1) model was proposed in order to improve on the modelling of ov...
In the thesis the thinning operators used for modeling of time series of counts are studied. The mai...
A new stationary qth-order integer-valued moving average process with Poisson innovation is introduc...
For modeling count time series data, one class of models is generalized integer autoregressive of or...
Integer-valued correlated stochastic processes, which we often meet in the real world, are of major...
Modelling counts of events can be found in several situations of real life. For instance, the number...