Introduction to hidden Markov Chains


Details
Hi Everyone! We are thrilled to announce our fourth workshop, an introduction to hidden Markov chains in R brought to you by Emmeke Aarts, an assistant professor based at the Social Sciences- Methodology and Statistics Department at Utrecht University.
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18:00 Doors open, & welcome
18.30 Introduction to R- Ladies
18.35 Introduction to Hidden Markov Chains
19.35 Break
19.45 Hands-on hidden Markov chains
20.45- 21.15 Networking & wrap up
PROGRAMME
Hidden Markov models are a powerful statistical technique to model generative observable sequence data that is characterised by naturally occurring latent states. It’s application cover a number of domains from Signal processing in Electronics, Random Walks in Statistics, speech processing, phrase chucking and extracting information from documents in machine learning, up to modelling of behavioural states in psychology and genomic features in computational biology. Emmeke will cover the theoretical and practical basics that will help and allow you to apply these methods in your research.
REQUIREMENTS
In order to most benefit from this workshop, a basic understanding of R and statistics is required! Also, please don’t forget your fully charged laptop!
CODE OF CONDUCT
We expect all attendees to abide by our Code of Conduct. Anyone who violates this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition. We are emphatically queer and trans-friendly. This group was created so those who identify as women have a comfortable place to learn.

Introduction to hidden Markov Chains