Scalable Algorithms in Non-parametric Computational Statistics, J. Graner MSc  Math Dept. Uppsala U.
Channel: Raazesh Sainudiin
Date: 2022-05-25

Topic: Master's Thesis Presentation by Johannes Graner
Time: 15.15 May 25th 2022.

Title: Scalable Algorithms in Non-parametric Computational Statistics
Abstract: Three problems in distributed computing and non-parametric computational statistics are explored to develop scalable distributed algorithms. The problems are rigorous global optimization, trend detection in time series, and non- parametric density estimation with tree-based histograms. Scalable algorithms are implemented for each problem using the fault-tolerant distributed framework of Apache Spark.