ZANINI, C. T. P. , Paulon, G. , Müller, P. (2020). Dependent Mixtures: Modelling Cell Lineages. (Contributed session speaker) [abstract][slides][certificate]
ZANINI, C. T. P. , Müller, P. , Ji, Y. , Quintana, F. A. (2019). A Bayesian Random Partition Model for Sequential Refinement and coagulation. COBAL. PUCP, Lima, Peru. (Invited session speaker) [slides] [invited_sessions]
Neves M. R., ZANINI, C. T. P. Alves, M. B. (2014) Computational methods for Bayesian inference in generalized linear dynamic models. SINAPE, Natal Brasil. (Oral communication: undergraduate research competition) [abstract] [slides]
ZANINI, C. T. P., Migon, H. S., Dias, R. (2022). Variational inference for Bayesian bridge regression. EBEB/LACSC.
Simões, T. C., ZANINI, C. T. P., Siqueira, A. S. P., Praça, H., L., F., dos Santos, J. P. C., Pereira, L H V, de Souza, V F, Abreu, S. S, Pereira, A, A, T, , da Silva, K. C. T., Gusmão, E V V, Honório, N. A. (2021). Indicadores socioambientais e arboviroses em diferentes escalas: resultados Arboalvo. Congresso Brasileiro de Epidemiologia.
ZANINI, C. T. P. , Müller, P. , Ji, Y. , Quintana, F. A. (2017). A model for sequential refinement and coagulation of random partitions. Conference of Texas Statisticians. Southern Methodist - University, Dallas, TX. [abstract] [poster]
ZANINI, C. T. P. , Migon, H. , S. Alves, M. B. (2014). Dynamic generalized linear models – sequential Bayesian methods. SINAPE. Natal, Brazil. [abstract] [poster]
ZANINI, C. T. P. , Neves, M. R. (2012) An application of MCMC methods to Poisson dynamic models for epidemiological counts. SINAPE, João Pessoa, Brazil. [web]
Neves, M. R. , ZANINI, C. T. P. . (2012) A mechanism of online estimation and prediction for dynamic Poisson regressions. SINAPE João Pessoa, Brazil. [web]
ZANINI, C. T. P., Migon, H. S., Dias, R. (2024). Variational inference for Bayesian bridge regression. Insper, São Paulo, SP, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Zhou, M. , Müller, P. (2021). Radial Neural Networks. Universidade Federal de São Carlos. São Carlos, SP, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Zhou, M. , Müller, P. (2020). Radial Neural Networks. Universidade Federal de Campinas, Campinas, SP, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Paulon, G. , Müller, P. (2020). Dependent Mixtures: Modelling Cell Lineages. Fundação Getúlio Vargas. Rio de Janeiro, RJ, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Paulon, G. , Müller, P. (2019). Dependent Mixtures: Modelling Cell Lineages. Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Zhou, M. , Müller, P. (2018). Radial Neural Networks. Universidade Federal do Rio de Janeiro. Rio de Janeiro, RJ, Brasil. (Invited seminar speaker) [slides]
ZANINI, C. T. P. , Zhou, M. , Müller, P. (2017). Introduction to Neural Networks for image classification. Max Plank Institute for Mathematics in the Sciences. Leipzig, Germany. (Invited seminar speaker) [slides]
15th EBEB: Brazilian Meeting of Bayesian Statistics (2020). Maresias, Brazil.
6th COBAL: Latin American Meeting on Bayesian Statistics (2019). Lima, Peru.
9th International Purdue Symposium on Statistics (2018). Lafayette, USA.
O'Bayes: International Workshop on Objective Bayes Methodology (2017). Austin, USA.
CBMS: Regional Conference on Spatial Statistics (2017). Santa Cruz, USA
CoSIP: Intense Course on Deep Learning (2017). Berlin, Germany.
COTS: The Conference of Texas Statisticians (2017). Dallas, USA.
ENAR: International Biometric Society (2016). Austin, USA
PASI: Pan-American Advanced Study Institute on Spatio-Temporal Statistics (2014). Búzios, Brazil.
SINAPE: Simpósio Nacional de Probabilidade e Estatística (2014) Natal, Brazil
SINAPE: Simpósio Nacional de Probabilidade e Estatística (2012) João Pessoa, Brazil.