Dr. Saleha Naghmi Habibullah, Professor, Kinnaird College For Women, Lahore, Pakistan
In today’s data-rich world, developing countries cannot afford to remain away from the study and practice of data science. We present an account of a series of online workshops on topics related to data science being organized by PISTAR, Lahore, Pakistan. The workshops are able to attract participants from various parts of the world, particularly from the developing countries.
Dr. Sayantee Jana, Assistant Professor, Indian Institute of Management Nagpur
Female statisticians date back to the 19th century, yet very little is known about their contributions to the field of statistics. Historically statisticians, both males or females, have worked day and night for the development of this field of science. Today, in the modern workforce, there are thousands of prominent and accomplished female statisticians around the world. We take this opportunity to explore the lives of pioneering female statisticians from the rich history of this modern branch of science, as they led the path to many more discoveries that have come our way.
Guadalupe Gómez Melis, Professor, Universitat Politècnica de Catalunya (Barcelona)
Carmen Armero, Professor at Universitat de València and head of the València Bayesian Research
Maria Xose Rodriguez-Alvarez; Ramón y Cajal Fellow at Universidade de Vigo
Amaia Iparragirre, PhD student at Universidad del País Vasco
Brief summary of the research being done in Statistics leaded by women in Spain presented by Guadalupe Gómez Melis, professor at Universitat Politècnica de Catalunya (Barcelona) and head of the Research Group in Biostatistics and Bioinformatics. This will be followed by 3 talks where the 3 speakers will briefly introduce their research groups.
Carmen Armero, professor at Universitat de València and head of the València Bayesian Research Group (VaBaR) will talk about Bayesian survival models with spatial covariates. Maria Xose Rodriguez-Alvarez, Ramón y Cajal Fellow at Universidade de Vigo, will tell us about the spatial analysis of field trials using penalised splines. The talk of Amaia Iparragirre, PhD student at Universidad del País Vasco, concerns the development of prediction models for complex survey data.
Wendy Martinez, Director, Mathematical Statistics Research Center, Bureau of Labor Statistics
R Govys is a new R User Group sponsored by the R Consortium. Our purpose is to build community, share knowledge, and grow influence for users and producers of government statistics. Anyone interested in open source tools, R programming and federal statistics is welcome to participate. This presentation will discuss the goals for the new group
Nairanjana Dasgupta, Director, Data Analytics, Boeing Distinguished Professor of Math and Science Education, Professor of Statistics, Washington State University
This presentation will briefly describe the concept of r-power (Dasgupta et. al. 2016). In r-power we look at ranking and classification as a novel way of addressing large scale multiplicity. This method was developed analytically under a few assumptions. Here we will look at ways of relaxing the assumptions and understanding the properties of the method. One caveat of r-power is the knowledge of the number of null hypotheses in a study. In this talk we will introduce an estimator based on a bi-lateral Laplace transform as way of estimating the number of nulls. We will show that this new estimator has lower mean squared error the currently available Fourier based methods. We will also extend the concept of r-power in the presence of dependence focusing on some correlation structures. Both analytical results and simulation will be used to demonstrate our results.