71th Workshop “Copulas – nonstandard Brazilian view”
71th Workshop “Copulas – nonstandard Brazilian view”
Dedicado às Contribuições do Professor Carlos Alberto de Bragança Pereira (Carlinhos) na Área de Cópulas e Suas Aplicações no Brasil e no Exterior
São Paulo, 7 de Julho de 2017, IME-USP – Auditório Antônio Gilioli (A-247)
Cronograma
09:00 – 09:15 Welcome session with coffee – offered at room A-255
09:15 – 12:15 Morning session chair – Nikolai Kolev (IME-USP)
09:15 – 09:45 Carlos Alberto de Bragança Pereira (Carlinhos – IME-USP): Como cheguei à cópula
09:45 – 10:15 Victor Fossaluza (IME-USP): Non-parametric Copula Estimation via Approximate Bayesian Computation
10:15 – 10:40 Nguen Ngo and Daniel Reis (IME-USP): Copula Based Dependence Measures
10:40 – 11:05 Fernando Corrêa and Daniel Morales (IME-USP): Copula Construction Methods
11:05 – 11:50 Julio Stern (IME-USP): A Copula do Noivo e da Noiva: Causas, Leis e Probabilidades Inversas
11:50 – 12:15 Nicholas Eugenio and Yang Ting Ju (IME-USP): Archimedean Copulas Look
12:15 – 14:00 Lunch
14:00 – 16:15 Afternoon session chair – Adilson Simonis (IME-USP)
14:00 – 14:45 Jorge Alberto Achcar (Medical School, FMRP-USP, Ribeirão Preto): Use of Graphical Methods in the Diagnostic of Parametric Probability Distributions Derived from Copula Functions for Bivariate Lifetime Data in Presence of Censoring
14:45 – 15:15 Adilson Simonis, Diego Marcondes and Junior Barrera (IME-USP): Local Lift Dependence Scale
15:15 – 15:45 Veronica González-Lopéz and Jesus Garcia (IMECC-UNICAMP): Copula: Further Investigations Needed Tool
15:45 – 16:15 Nikolai Kolev (IME-USP): Kolmogorov ‘s Decomposition (Copula) Theorem
16:15 – 16:40 Coffee break – offered at room A-255
16:40 – 17:30 Homenagem session chair – Julio Stern (IME-USP)
17:30 – 18:00 Carlinhos (IME-USP): Copulas – a personal view
18:00 – 18:30 Poster session – A-247
19:00 – 22:00 Firewell – Senzala Restaurant: Praça Panamericana 41
Organizadores: Nikolai Kolev e Adilson Simonis (IME-USP)
Com apoio de IME-USP, ABE, CEPID-CeMEAI, Pós-Graduação em Estatística CAPES/PROEX