Marco Henrique de Almeida Inacio

Has bachelor degree in Economics from University of São Paulo and a masters in Statistics from University of São Paulo and UFSCar. Is a member of the Stan development team.
(Text informed by the author)

Last updated 07/31/2018
Address to access this CV:
http://lattes.cnpq.br/1931901020027887
31/07/2018

Personal Information
NameMarco Henrique de Almeida Inacio
Bibliographic CitationINACIO, M. H. A.

Formal Education/Degree
2017Ph.D. in progress in Estatística .
Universidade de São Paulo e Universidade Federal de São Carlos, USP/UFSCAR, Brasil. Advisor: Rafael Izbicki.
Grantee of: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ,CAPES ,Brasil .
2015 - 2017Master´s in Interinstitucional de Pós-graduação em Estatística - UFSCar - USP .
Universidade de São Paulo e Universidade Federal de São Carlos, USP/UFSCAR, Brasil. Year of degree: 2017.
Advisor: Rafael Izbicki.
Grantee of: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ,CAPES ,Brasil .
2010 - 2014Graduation in Ciências Econômicas .
Universidade de São Paulo, USP, Brasil.
Advisor: Bruno Cesar Aurichio Ledo.


Professional Experience
Universidade Federal de São Carlos, UFSCAR, Brasil.
Contract
2017 - 2018 Type of contract: Estágio docente, Functional Placement: , Credit Hours: 30
Activities
2018 - PresentProject participation activities, Centro de Ciências Exatas e de Tecnologia, Departamento de Estatística.
Research Projects
Modelagem estatística aplicada e levantamento de dados


Research Projects
2018 - PresentModelagem estatística aplicada e levantamento de dados
Situation: in Progress; Nature: Extension.
Participant Students: Master's ( 1) Ph.D. ( 2) .
Participants: Marco Henrique de Almeida Inacio - Participant / MARCIO ALVES DINIZ - Co-ordinator / DANILO LOURENCO LOPES - Participant / RAFAEL IZBICKI - Participant / Afonso Fernandes Vaz - Participant / João Carlos Poloniato Ferreira - Participant.
.

Areas of Expertise
1. Major Area: Exact and Earth Sciences / Area: Probability and Statistics / Subarea: Estatística computacional.

Languages
Portuguese Comprehends Well, Speaks Well, Reads Well, Writes Well.
English Comprehends Well, Speaks Well, Reads Well, Writes Well.
French Comprehends Little, Speaks Little, Reads Reasonably, Writes Little.
Hungarian Reads Little.


Scientific, Technological, Artistic and Cultural Production
Bibliographical Production
Summary published in proceedings of conferences
1. INACIO, M. H. A. . Appling zero inflated regression models to the brazilian car insurance market, 2013, São Paulo. 21º Simpósio Internacional de Iniciação Científica e Tecnológica da USP, 2013.
Additional References: Event Classification: International; Brasil/ Português; Divulgation Media: Digital
Articles accepted for publication
1.   INACIO, M. H. A. ; IZBICKI, R. ; SALASAR, L. E. . . COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2018. ; ISSN/ISBN: 03610918.
Presentations of Work
1. INACIO, M. H. A. . Applying zero inflated regression models to the Brazilian car insurance market. 2013. (Presentation/Symposium).
Additional References: Brasil/Português; Place: Universidade de São Paulo; City: São Paulo; Sponsor/Promoter Institution: Universidade de São Paulo.
Other Kinds of Bibliographical Production a
1. INACIO, M. H. A. . 2017 (Apostila).
Additional References: Brasil/Português; Website: https://pytutorial.marcoinacio.com
2. INACIO, M. H. A. . Getting started with Stan 2017 (Apostila).
Additional References: Brasil/Português; Divulgation Media: Digital; Website: http://marcoinacio.com/pt
Technical Production
Not Patented or Registered Softwares
1. INACIO, M. H. A. . npcompare Python package. 2017.
Additional References: Brasil/; Finalidade: Comparação e estimação de densidades; Plataforma: Python; Sponsor/Promoter Institution: -.
A Python package which implements a density comparison method and a Fourier series nonparametric density estimation method.
2.   GELMAN, A. ; CARPENTER, B. ; HOFFMAN, M. ; LEE, D. ; GOODRICH, B. ; BETANCOURT, M. ; BRUBAKER, M. ; GUO, J. ; RIDDELL, A. ; INACIO, M. H. A. ; ARNOLD, J. ; MORRIS, M. ; TRANGUCCI, R. ; GOEDMAN, R. ; LAU, B. ; GABRY, J. S. ; KUCUKELBIR, A. ; GRANT, R. L. ; TRAN, D. ; SAKREJDA, K. ; VEHTARI, A. ; LEI, R. ; WEBER, S. ; MARGOSSIAN, C. ; SERAPHIM, T. ; PICAUD, V. ; ALI, I. ; TALTS, S. ; MALECKI, M. ; GAO, Y. ; LI, P. . Stan. 2010.
Additional References: Estados Unidos/; Finalidade: Amostrador MCMC e estimador de maxima verossimilhança penalizada por meio de optimização; Plataforma: C++, R, Python; Sponsor/Promoter Institution: U. S. Department of Energy; U. S. National Science Foundation; U. S. Department of Education Institute of Education Sciences; U. S. National Institutes of Health; U. S. National Science Foundation.
Stan is a probabilistic programming language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS) (http://mc-stan.org/).
Other Kinds of Technical Production
1. DINIZ, M. A. ; INACIO, M. H. A. ; SALASAR, L. E. . . 2018. (Radio or TV Program/Interview).
Additional References: Brasil/Português; Presentation date: 05/07/2018.
2.
INACIO, M. H. A. . Introduction to the Stan statistical software. 2016. (Short Course Taught/Other).
Additional References: Brasil/Português; Divulgation Media: Digital; Unity: horas;
type of participation: ; Event Period: 4; Place: Departamento de Estatística - Universidade Federal de São Carlos; City: São Carlos; Promoting Institution: Universidade Federal de São Carlos.

Events
Participation in events
1. . 2017. (Participation In Events/ Symposium).
Additional References: Brasil/
types of participation: Avaliador
forms of participation: Convidado.
2. .A Bayesian approach to density estimation via Fourier orthogonal series. 2016. (Participation In Events/ Symposium).
Additional References: Brasil/
types of participation: Poster / Painel
forms of participation: Participante.

Other Relevant Information
Iniciação cientifica de 2012 a 2013 com bolsa CNPq/Pibic. Atividade profissional de desenvolvedor colaborador do software Estatístico Stan (http://mc-stan.org/), membro do grupo de 2014 a 2018. Membro discente da coordenação do Programa Interinstitucional de Pós-Graduação em Estatística UFSCar-USP de 2016 a 2017..
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