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  <title>DSpace Communidade:</title>
  <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/5201" />
  <subtitle />
  <id>https://repositorio.ufba.br/handle/ri/5201</id>
  <updated>2026-05-03T15:58:03Z</updated>
  <dc:date>2026-05-03T15:58:03Z</dc:date>
  <entry>
    <title>A teoria do transporte ótimo aplicada ao estudo de sistemas de funções iteradas</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44401" />
    <author>
      <name>Santos, Agábio Brasil dos</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44401</id>
    <updated>2026-04-20T22:28:48Z</updated>
    <published>2025-11-11T00:00:00Z</published>
    <summary type="text">Título: A teoria do transporte ótimo aplicada ao estudo de sistemas de funções iteradas
Autor(es): Santos, Agábio Brasil dos
Primeiro Orientador: Silva, Edgar Matias da
Abstract: This work consists of a study of Iterated Function Systems that contract on average, using concepts and results from Optimal Transport Theory for this analysis. To support the discussion, it was necessary to revisit notions such as complete metric spaces, weak topology, as well as concepts from Measure Theory, Ergodic Theory, and Probability Theory. Within the latter, the notions of homogeneous Markov chains and the stationary measures associated with these chains are explored. Based on these preliminary concepts, optimal coupling is defined, demonstrating that, under certain conditions, the existence of such coupling is always guaranteed. The Wasserstein distance is also introduced, which plays an essential role in the subsequent results. Equipped with the tools of Optimal Transport Theory, this work investigates the stationary measures of Iterated Function Systems that contract on average, proving that, in this context, there is existence and uniqueness of a stationary measure, in addition to obtaining estimates for its moments of order q. Finally, the developed concepts are applied to the study of skew-products that have contractive fibers, showing that such systems admit a single "stationary measure'' with limited support.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-11-11T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Operadores Dunford-Pettis em reticulados de Banach</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44277" />
    <author>
      <name>Antunes, Gleberson Gregorio da Silva</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44277</id>
    <updated>2026-03-23T20:36:43Z</updated>
    <published>2026-02-24T00:00:00Z</published>
    <summary type="text">Título: Operadores Dunford-Pettis em reticulados de Banach
Autor(es): Antunes, Gleberson Gregorio da Silva
Primeiro Orientador: Ribeiro, Joilson Oliveira
Abstract: A Dunford–Pettis operator is a linear operator that maps weakly convergent sequences into norm-convergent sequences. This work investigates the properties of positive operators defined on Banach lattices, with an emphasis on domination results. Specifically, we analyze the behavior of operators S and T satisfying 0 ≤ S ≤ T, seeking to determine how the properties of the dominating operator T, such as compactness or being a Dunford–Pettis operator, influence the operator S and its powers.
Editora / Evento / Instituição: UNIVERSIDADE FEDERAL DA BAHIA
Tipo: Dissertação</summary>
    <dc:date>2026-02-24T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Testes não paramétricos em análise de sobrevivência no contexto de inferência causal</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44276" />
    <author>
      <name>Azevedo, Arthur Rios de</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44276</id>
    <updated>2026-03-23T20:04:56Z</updated>
    <published>2025-12-18T00:00:00Z</published>
    <summary type="text">Título: Testes não paramétricos em análise de sobrevivência no contexto de inferência causal
Autor(es): Azevedo, Arthur Rios de
Primeiro Orientador: Amorim, Leila Denise Alves Ferreira
Abstract: Research aimed at estimating causal effects of interventions on time-to-event outcomes in observational studies faces challenges, notably when the goal is to compare groups in the presence of confounding. Propensity score–based methodologies are well established in the literature and provide a robust framework for causal inference in observational studies. Weighting procedures have already been employed in nonparametric methods, such as the Kaplan-Meier estimator, allowing the construction of pseudo-populations using propensity scores, which yield adjusted, unbiased estimates in the presence of confounding. However, their integration with nonparametric hypothesis tests in survival analysis is still limited to the Log-Rank test and remains an area in need of methodological developments. In this dissertation, a generalization of nonparametric tests adjusted by the inverse probability of treatment weighting is developed, with a focus on comparing survival functions under different hazard patterns. The proposed methodology is assessed through simulation studies that consider alternative hypotheses involving proportional hazards, early and late separation, and crossing survival curves, as well as different censoring and sample size scenarios. The results show substantial gains in test power when the separation pattern is aligned with the weighting scheme used, suggesting that tests adjusted with appropriate weights can outperform classical approaches in the detection of causal effects.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-12-18T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A influência da geometria fractal na recorrência de Poincaré.</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44058" />
    <author>
      <name>Reis, Gábrio Ravel Souza</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44058</id>
    <updated>2026-02-20T11:30:13Z</updated>
    <published>2025-08-25T00:00:00Z</published>
    <summary type="text">Título: A influência da geometria fractal na recorrência de Poincaré.
Autor(es): Reis, Gábrio Ravel Souza
Primeiro Orientador: Silva, Edgar Matias da
Abstract: This work investigates how the fractal geometry of a space influences the speed at which orbits return to small neighborhoods of their initial points. The object of study is a dynamical system that preserves a probability measure. The classical Poincaré Recurrence Theorem is a qualitative result, guaranteeing only that, for almost every point in the system, the return time is finite. Here, we move toward a quantitative description: we show that, along a subsequence, the distance between a typical orbit at time n and its initial point decays in a polynomial or subpolynomial manner, with the decay rate estimated by the Hausdorff dimension of the space. More precise estimates can be obtained by considering the Hausdorff dimension of the invariant measure. In addition, we use the theory developed for the deterministic case to study the random setting, in which orbits are generated by independent and identically distributed choices of functions. We show that the recurrence of random orbits exhibits the same behavior observed in the deterministic case.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-08-25T00:00:00Z</dc:date>
  </entry>
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