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WU Awards 2023 - Outstanding research and teaching achievements by WU students and faculty

13/12/2023

Excellence in the Spotlight The WU Awards put the spotlight on teachers and researchers whose achievements during the past year helped strengthen WU’s reputation for excellence and develop solutions to current economic and social challenges.

Numerous researchers from the Department were honored by the Rector's Office for their dedication and research achievements over the past year. The department's awarded achievements can be found below and in the brochure WU Awards 2023.

WU awards bonuses to its researchers for publications in internationally renowned journals and other outstanding academic achievements.

  • Grün, B., Malsiner-Walli, G., Frühwirth-Schnatter, S., 2022, How many data clusters are in the Galaxy data set?, Bayesian cluster analysis in action. ADAC – Advances in Data Analysis
    and Classification, 16(2), 325–349.

  • Amon, J., Hornik, K., 2022, Is it all bafflegab? – Linguistic and meta characteristics of research articles in prestigious economics journals. Journal of Informetrics, 16(2).

  • Kurt, K., Frey, R., 2022, Markov-modulated affine processes., Stochastic Processes and their Applications, 153, 391–422.

  • Hornik, K., Hirk, R., Vana Gür, L., 2022, A corporate credit rating model with autoregressive errors., Journal of Empirical Finance, 69, 224–240.

  • Fissler, T., Pesenti, S., 2023, Sensitivity Measures Based on Scoring Functions., European Journal of Operational Research (EJOR), 307(3), 1408–1423.

  • Fissler, T.,  Holzmann, H., 2022, Measurability of functionals and of ideal point forecasts., Electronic Journal of Statistics, 2022(16), 5019–5034.

  • Fissler, T., Merz, M., Wüthrich, M. V., 2023, Deep quantile and deep composite triplet regression., Insurance: Mathematics and Economics, 109, 94–112.

  • T. Fissler, Y. Hoga, 2023, Backtesting Systemic Risk Forecasts using Multi-Objective Elicitability., Journal of Business & Economic Statistics.

  • T. Dimitriadis, T. Fissler, J. Ziegel, 2023, Osband’s Principle for Identification Functions., Statistical Papers

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  • Amon Julian, Rammerstorfer Margarethe, Weinmayer Karl., 2021, Passive ESG Portfolio Management—The Benchmark Strategy for Socially Responsible Investors., Sustainability. 13 (16)

  • Hosszejni, D., 2021, exams.mylearn., Software, The R Foundation.

  • Frühwirth-Schnatter Sylvia, Knaus Peter, 2021, Sparse Bayesian State-Space and Time-Varying Parameter Models., In: Handbook of Bayesian Variable Selection, Hrsg. Mahlet G. Tadesse, Marina Vannucci, 297–326

  • Winkler, D., Knaus, P., 2021, shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage., Software

  • Greve, J., Grün, B., Malsiner-Walli, G., Frühwirth-Schnatter, S., 2021, fipp: Induced Priors in Bayesian Mixture Models., Software, R Foundation for Statistical Computing.

  • Sylvia Frühwirth-Schnatter

Congratulation!

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