Description
This project focuses on the development of default Bayesian hypothesis tests for structural equation models. These models have found broad application in the social sciences, and recent work has stressed the advantages of analyzing such models in the Bayesian framework (e.g., Lee, 2007). The main challenges that need to be overcome are the appropriate specification of default prior distributions and the efficient computation of the Bayesian hypothesis tests. This project is part of the ERC project “Bayes or Bust: Sensible Hypothesis Tests for Social Scientists” that involves a team of two postdocs, a PhD student, and a programmer.
The appointment will be for a period of four years (one year plus a further three years after a positive evaluation) and should lead to a dissertation. The gross monthly salary will be in accordance with the University regulations for academic personnel, and will range from € 2,043 (first year) up to a maximum of € 2,612 (fourth year).
Eligibility
Candidates must hold (or will soon be awarded) a research-oriented master’s degree or equivalent in a field such as statistics, psychological methods, or mathematics. Experience in programming and some background in Bayesian statistics is highly desirable.
Application Procedure
The application must include the followings:
This project focuses on the development of default Bayesian hypothesis tests for structural equation models. These models have found broad application in the social sciences, and recent work has stressed the advantages of analyzing such models in the Bayesian framework (e.g., Lee, 2007). The main challenges that need to be overcome are the appropriate specification of default prior distributions and the efficient computation of the Bayesian hypothesis tests. This project is part of the ERC project “Bayes or Bust: Sensible Hypothesis Tests for Social Scientists” that involves a team of two postdocs, a PhD student, and a programmer.
The appointment will be for a period of four years (one year plus a further three years after a positive evaluation) and should lead to a dissertation. The gross monthly salary will be in accordance with the University regulations for academic personnel, and will range from € 2,043 (first year) up to a maximum of € 2,612 (fourth year).
Eligibility
Candidates must hold (or will soon be awarded) a research-oriented master’s degree or equivalent in a field such as statistics, psychological methods, or mathematics. Experience in programming and some background in Bayesian statistics is highly desirable.
Application Procedure
The application must include the followings:
- a detailed curriculum vitae;
- a transcript of grades and courses from the applicant’s MSc degree;
- two references, one of which should be from the MSc thesis supervisor.
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