The details of the seminars in the Department of Statistics:
3 October CANCELLED: NO SEMINAR
1st Presenter: Mr Mark de Lancey , Department of Statistics, University of Pretoria
Title: Sampling a nonlinear graph-based signal
2nd Presenter: Mr Kabelo Mahloromela, Department of Statistics, University of Pretoria
Title: Covariate construction of nonconvex windows for spatial point pattern data
1st Presenter: Ms Esta Stoop, Department of Statistics, University of Pretoria
Title: Maximum likelihood estimation under constraints (MLEC) for sensory and consumer data
2nd Presenter: Ms Ineke Derks, Department of Statistics, University of Pretoria
Title: A two-stage contagious naïve Bayes classifier for detecting sociolinguistic features
Presenter: Professor Roger Deane, Department of Physics, University of Pretoria (click here for a recent interview)
Title: Big Data Challenges in Astronomy: A Selected Overview of UP Focus Areas
All seminar sessions start 08:30AM in EMS 4-151 on the Main Campus of UP.
Bayesian networks short course
Click here for more information
Bayesian networks provide a powerful decision-making platform to reason under uncertainty. It has a long history of providing successful Artificial Intelligence (AI) solutions ranging from medical diagnosis to spam filtering to policy assessment. Inherent in Bayesian networks is a graphical representation of the model structure, combined with a probabilistic engine in order to account for uncertainty. This course is focused on industry and applied use of Bayesian networks. Applied researchers and developers in the following fields will benefit from this course: Data science, econometrics, marketing, business intelligence, policy and decision management, risk management, engineering, environmental science and biostatistics .