Name
Title | ||
|---|---|---|
Innovation Representation of Stochastic Processes With Application to Causal Inference. |
Abstract | ||
|---|---|---|
Typically, real-world stochastic processes are not easy to analyze. In this paper, we study the representation of different stochastic process as a memoryless innovation process triggering a dynamic system. We show that such a representation is always feasible for innovation processes taking values over a continuous set. However, the problem becomes more challenging when the alphabet size of the i... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIT.2019.2927530 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Technological innovation,Random variables,Stochastic processes,Entropy,Greedy algorithms,History,Graphical models | Journal | 66 |
Issue | ISSN | Citations |
2 | 0018-9448 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amichai Painsky | 1 | 18 | 8.11 |
| Saharon Rosset | 2 | 1087 | 105.33 |
| Meir Feder | 3 | 809 | 174.02 |