Biographical Background Information (BBI)

  • 4.7 Rating
  • 1 Reviews
  • 4 Students Enrolled

Biographical Background Information (BBI)

Biographical Background Information (BBI) is a database of biographies.

  • 4.7 Rating
  • 1 Reviews
  • 4 Students Enrolled
  • 3
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bbi



Courselet Content

1 courselets • 3 courselet components • 00h 05m total length

Requirements

  • None

Description

Biographical Background Information (BBI) is a database of biographies of few of the most successful and renowned mathematicians, statisticians, economists and, various fields of statistics. With a few clicks, you can easily find your desired scientist from the alphabetically ordered list and find information about their career path, academic contributions, and most notable publications.

For more information related to the BBI, please watch the introductory video.

If you would like to explore the course more and access the extra resources, alongside the latex files for the given presentation, we encourage you to enrol for the course. 

Thank you. 

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About the Instructor

instructor
About the Instructor

Kainat Khowaja is currently a research associate and PhD student at Humboldt University of Berlin with International Research Training Group IRTG1792 “High dimensional non stationary time series analysis”.

Along with a double masters degree in Mathematics and high international exposure through various exchanges. she has a rich background in research, scientific presentations and teaching. Since 2015, she has worked as a teaching assistant for 4+ courses and completed various research projects related to statistics, econometrics, machine learning and finance. She has also co-taught four graduate level courses related to smart data analysis and mathematical statistics at her current institute.

Presently, she is working on the methodology to construct uniform confidence bands around non-parametric estimates from generalized random forests with assistance of multiplier bootstrap. Her work extends on the scope in which mathematical properties can be utilized to bridge the gap between theoretical understanding of random forests and their practical performance. Her research interests include interpretability of and variable selection through random forests and she would like to continue her research in the same area.

Student Feedback

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WH
26-05-2022
Wolfgang Karl Härdle

This is an important essay about the history of math and stat. Congratulations to the artists who created this.