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EMOS Core Module “Official Statistics”

EMOS-Core Module “Official Statistics“ is offered this Winter term as a one week intensive course!

The European Master of Official Statistics (EMOS) is an additional certificate which can be achieved with a special profile of your study. The program offers interesting internships and master thesis projects. This extra certificate will be useful for your future carrier. The mandatory EMOS Core Module on Official Statistics (Module 8 (Nutzung der Amtlichen Statistik in den Wirtschafts- und Sozialwissenschaften WPM 223)) is offered this winter term as a one-week intensive course starting at Monday 11. Nov. 10h in HS 112 Spandauer Str.

Enroll the course at

Important note: At the moment the future of this module and the EMOS-participation is unclear. Those who are really interested should enroll in the EMOS core module this term!

You find more information about EMOS at:

Jour Fixe Master Statistics

The fourth Jour Fixe will take place on Monday April 29th at 5:30 p.m. in room  22 (HU Berlin, Spandauer Str. 1). The Jour Fixe offers a great opportunity for informal exchange between lectures and students. Especially regarding the introduction of new specialization areas such as “Data Science” and general feedback about the courses and the structure of the master program.

Afterwards, at around 6:30 p.m., the new professor for statistics, Sonja Greven will talk about Statistical methods for functional and object data

Semester Break Training Courses

Traning courses during the semester break are offered by FU:stat. The courses are concerned with programming (R, SPSS) and hypothesis testing and more.

The complete course list with additional information can be found here.

Master Thesis Topics

Prof. Dr. Nadja Klein is offering a master thesis topics at the Chair of Statistics.

Available Topics

  • Modelling Income Inequality with Conditional Transformation Models
  • Bayesian Nonparametric Conditional Density Estimators
  • Distributional Joint Modelling
  • Probabilistic Weather Forecasts
  • Approximations of Normalizing Constants in Doubly-Intractable Likelihoods
  • Effect Fusion of Categorical Predictors
  • Effect Selection in Semiparametric Quantile Regression Models
  • Measuring the Explained Variance in Structured Additive Distributional Regression
  • Bayesian Hierarchical Modelling of Hedonic Housing Prices
  • Comparisons and Implementation of Non-Local Shrinkage Priors
  • Variational Bayes Methods with Data-Subsampling
  • Trivariate Conditional Copula Regression with Arbitrary Link Functions
  • Slice sampling for Variance Parameters
  • Hamiltonian Monte Carlo Sampler with Dual Averaging

Suggestion of own topics in the areas of Bayesian Statistics, Computational Methods, applications on distributional regression or Machine Learning are welcome.