University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Multiple Data Sources, Missing and Biased Data

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Multiple Data Sources, Missing and Biased Data

Download to your calendar using vCal

If you have a question about this talk, please contact Mustapha Amrani .

Infectious Disease Dynamics

Inferential methods based on multiple data sources are becoming increasingly common in infectious disease epidemiology, to combine heterogeneous, incomplete and biased evidence. We describe a Bayesian approach to evidence synthesis, highlight its ability to incorporate all available information in a single coherent probabilistic model and discuss current challenges in this area.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

St Catharine’s College, Trumpington Street Average on weekdays: 8962.27595628 kWh Palmerston Room, Fisher Building, St John's College

Other talks

Title TBC John Kendrew Lecture - Title TBC Reachability Types, Traces, and Full Abstraction An AI-Assisted Proof in Spectral Geometry Cambridge AI in Medicine Seminar - April 2026 The Play Paradox: How video games build better humans
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity