Assistant Professor at Departamento de Estatística, at Universidade Federal de São Carlos, in São Carlos, SP, Brazil. He has a Ph.D. and a Master in Probability and Statistics from Interagency Program Graduate in Statistics between Universidade Federal de São Carlos and Universidade de São Paulo - PIPGES UFSCar/USP - (2015 and 2019, respectively), and a Bachelor in Mathematics from Universidade Estadual Paulista Júnio de Mesquita Filho (2012). He has experience in Probability and Statistics, focusing on probability theory, inference in stochastic processes, information theory and stochastic calculus with application in neuroscience and finance. (Source: Lattes Curriculum)
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Over the past years, with the computational advances, statistics have undergone drastic changes, especially with regard to the increasing capacity of data storage. For each individual, more and more features have been collected, then the number of parameters to be estimated have becomes much larger than the number of observations. It is the case, for example, of areas as biology or applic…
Stochastic chains with unbounded memory are a natural generalization of Markov chains, in the sense that the transition probabilities may depend on the whole past. These process, introduced by Onicescu and Mihoc (1935) and Doeblin and Fortet (1937), have been receiving increasing attention in the probabilistic literature, because they form a class richer than the Markov chains and have pr…
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(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FERREIRA, RICARDO FELIPE. Concentration Bounds for Plug-In Estimator of Directed Information. IEEE TRANSACTIONS ON INFORMATION THEORY, v. 67, n. 8, p. 4939-4947, AUG 2021. Web of Science Citations: 0. (13/07699-0, 16/12918-0)
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