A Shared Passion for Math and Statistics | Stats + Short Stories Episode 257
Podcast |
Stats + Stories
Media Type |
audio
Podknife tags |
Data Science
Interview
Technology
Categories Via RSS |
Education
Publication Date |
Dec 15, 2022
Episode Duration |
00:11:50
At Stats and Stories, we love to have statisticians and journalists tell stories of their careers and give advice to inspire younger professionals and the next generation about what they can do with the power of data. However, we have yet to have a couple join us to talk about their careers and how statistics in Brazil have progressed over the past 30 years. That's the focus of this episode of Stats and Stories Pedro and Denise Silva. Pedro Luis do Nascimento Silva - Statistics from the National Institute of Pure and Applied Mathematics Association (1988) and Doctor in Statistics - University of Southampton (1996). He is a Researcher at the National School of Statistical Sciences. He has extensive experience in the following areas of Statistics: sampling and research methods, analysis of complex sample data, household sample surveys, variance estimation, calibration estimators, data criticism and imputation, estimation for small domains, sample surveys in the evaluation of public policies, and official statistics. He was president of the International Institute of Statistics (2015-2017). Denise Britz do Nascimento Silva is a retired and voluntary Principal Researcher at the National School of Statistical Sciences (ENCE) of the Brazilian Institute for Geography and Statistics (IBGE), and Senior Associate Researcher at the Society for the Development of Scientific Research (SCIENCE). PhD. in Statistics (University of Southampton, 1997). I am an elected member of the International Statistical Institute (ISI), an associate editor of the Statistical Journal of the IAOS and the Revista Brasileira de Estatística, and was President (2019-2021) of the International Association of Survey Statisticians (IASS). My main areas of interest are official/public statistics, survey methods, statistical modeling of survey data, small-area estimation, and statistical education.

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