Count time series are widely encountered in practice. As with continuous valued data, many count have seasonal properties. This paper uses a recent advance stationary to develop general modeling paradigm. The model constructed here permits any marginal distribution for the and most flexible autocorrelations possible, including those negative dependence. Likelihood methods of inference explored....

The presence of smart objects is increasingly widespread and their ecosystem, also known as Internet Things, relevant in many different application scenarios. huge amount temporally annotated data produced by these devices demand for efficient techniques transfer storage time series data. Compression play an important role toward this goal and, despite the fact that standard compression methods...