Bayesian Data Analysis: Advanced Topics (CS-BWP-CNP, CS-BWP-MCS, CS-MWP-CNP)

8.3372

Dozenten

Beschreibung

Prerequisites:
Statistics & Data Analysis (or equivalent)
Machine Learning (or equivalent)
Basic knowledge of R

The course introduces probabilistic programming tools for Bayesian inference (Stan, WebPPL, possible Pyro,... ) together with standard algorithms for approximating a posterior distribution (variational inference, MCMC, ...). It visits Bayesian analyses of selected cognitive models (signal detection, drift diffusion, ...), linguistic models (Rational Speech Act, ...) and machine learning models (clustering, topic, ...).

This is an advanced course. Students are expected to have prior knowledge of the basics of Bayesian Data Analysis.

Weitere Angaben

Ort: nicht angegeben
Zeiten: Di. 16:00 - 18:00 (wöchentlich), Do. 14:00 - 16:00 (wöchentlich)
Erster Termin: Dienstag, 14.04.2020 16:00 - 18:00
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
Sprache: 4
ECTS-Punkte: 8

Studienbereiche

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Veranstaltungen > Cognitive Science > Master-Programm