Abstract. It is well-known that the aggregated time series might have very different properties from those of the individual series, in particular, long memory. At the present time, aggregation has become one of the main tools for modelling of long memory processes. We review recent work on contempora-neous aggregation of random-coefficient AR(1) and related models, with particular focus on various long memory properties of the aggregated process
In this paper we study the effect of contemporaneous aggregation of an arbitrarily large number of p...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...
It is well-known that the aggregated time series might have very different properties from those of ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
This paper explores the interaction between long memory and aggregation. Results are derived which l...
This paper explores the interaction between long memory and aggregation. Results are derived which l...
International audienceWe study the aggregation/disaggregation problem of random parameter AR(1) proc...
By aggregating simple. possibly dependent, dynamic micro-relationships, it is shown that the aggrega...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on data...
In this paper we study the effect of contemporaneous aggregation of an arbitrarily large number of p...
Chambers (1998) explores the interaction between long memory and aggregation. For continuous-time pr...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on data...
In this paper we study the effect of contemporaneous aggregation of an arbitrarily large number of p...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...
It is well-known that the aggregated time series might have very different properties from those of ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
Contemporaneous aggregation of individual AR(1) random processes might lead to different properties ...
This paper explores the interaction between long memory and aggregation. Results are derived which l...
This paper explores the interaction between long memory and aggregation. Results are derived which l...
International audienceWe study the aggregation/disaggregation problem of random parameter AR(1) proc...
By aggregating simple. possibly dependent, dynamic micro-relationships, it is shown that the aggrega...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on data...
In this paper we study the effect of contemporaneous aggregation of an arbitrarily large number of p...
Chambers (1998) explores the interaction between long memory and aggregation. For continuous-time pr...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on data...
In this paper we study the effect of contemporaneous aggregation of an arbitrarily large number of p...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...
A key feature of agent-based modeling is the understanding of the macroscopic behavior based on dat...