EDBT 2026 Demo / reviewers in the wild / expert
Erika Alejandra Rada-Mora
dblp:221/7269
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-6734-7696ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › information measures › entropy
shannon entropy |
0.3 | 1 | 2018 | The Shortest Possible Return Time of β-Mixing Processes · IEEE Trans. Inf. Theory 2018 |
Methods — techniques the papers use, named apart from their topics
matching function analysis · 0.3large deviation theory · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | The Shortest Possible Return Time of β-Mixing ProcessesabstractWe consider a stochastic process and a given n-string. We study the shortest possible return time (or shortest return path) of the string over all the realizations of process starting from this string. For a β-mixing process having complete grammar, and for each size n of the strings, we approximate the distribution of this short return (properly re-scaled) by a non-degenerated distribution. Under mild conditions on the β coefficients, we prove the existence of the limit of this distribution to a non-degenerated distribution. We also prove that ergodicity is not enough to guaranty this convergence. Finally, we present a connection between the shortest return and the Shannon entropy, showing that maximum of the re-scaled variables grow as the matching function of Wyner and Ziv. Miguel Natalio Abadi, Sandro Gallo, Erika Alejandra Rada-Mora |
IEEE Trans. Inf. Theory | 3 |