Research output per year
Research output per year
Personal profile
Expertise
- statistical modelling of economic time series
- state space modelling and Kalman filter methods
- Markov Chain Monte Carlo methods
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Publications
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How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action
Grün, B., Malsiner-Walli, G. & Frühwirth-Schnatter, S., 2022, In: ADAC - Advances in Data Analysis and Classification. 16, 2, p. 325 - 349Publication: Scientific journal › Journal article › peer-review
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On Statistical Inference in Factor Analysis: Polynomial-Time Verification of the Anderson-Rubin Condition
Hosszejni, D. & Frühwirth-Schnatter, S., 2022.Publication: Contribution to conference › Conference poster
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Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis
Greve, J., Grün, B., Malsiner-Walli, G. & Frühwirth-Schnatter, S., 2022, In: Australian and New Zealand Journal of Statistics.Publication: Scientific journal › Journal article › peer-review
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A New Domain-Specific Language for MCMC Inference
Winkler, D., Adelsberger, S. & Frühwirth-Schnatter, S., 2021.Publication: Contribution to conference › Conference poster
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Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
Zens, G., Frühwirth-Schnatter, S. & Wagner, H., 2021.Publication: Working/Discussion Paper
Activities
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Capturing Correlated Clusters Using Mixtures of Latent Class Models
Gertraud Malsiner-Walli (Contributor), Sylvia Frühwirth-Schnatter (Contributor) & Bettina Grün (Speaker)
9 Sep 2022Activity: Talk or presentation › Science to science
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Econometric Identification in Latent Factor Analysis
Darjus Hosszejni (Speaker) & Sylvia Frühwirth-Schnatter (Contributor)
8 Sep 2022 → 9 Sep 2022Activity: Talk or presentation › Science to science
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Capturing Correlated Clusters Using Mixtures of Latent Class Models
Gertraud Malsiner-Walli (Speaker), Sylvia Frühwirth-Schnatter (Contributor) & Bettina Grün (Contributor)
1 Sep 2022Activity: Talk or presentation › Science to science
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Mixtures with a prior on the number of components and the telescoping sampler
Gertraud Malsiner-Walli (Speaker), Sylvia Frühwirth-Schnatter (Contributor) & Bettina Grün (Contributor)
26 Aug 2022Activity: Talk or presentation › Science to science
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On Statistical Inference in Factor Analysis: Polynomial-Time Verification of the Anderson-Rubin Condition
Darjus Hosszejni (Speaker) & Sylvia Frühwirth-Schnatter (Contributor)
26 Jun 2022 → 1 Jul 2022Activity: Talk or presentation › Science to science
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Arianna: A Domain-Specific Language for MCMC Algorithms
Adelsberger, S., Frühwirth-Schnatter, S. & Winkler, D.
6/01/20 → 30/12/22
Project: Research funding
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Shrinking and Regularizing Finite Mixture Models
Frühwirth-Schnatter, S. & Malsiner-Walli, G.
1/11/16 → 30/04/22
Project: Research funding
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National Research Network The Austrian Center for Labor Economics and the Analysis of the Welfare State, Project Bayesian Econometrics (FWF S10309-G14)
Frühwirth-Schnatter, S., Pittner, S. & Posekany, A.
1/01/08 → 31/12/14
Project: Research funding
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Conjoint analysis using tools from state space modelling
Frühwirth-Schnatter, S., Otter, T. & Tüchler, R.
1/01/99 → 30/06/00
Project: Research funding
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Prizes
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Corresponding Member of the Austrian Academy of Science
Frühwirth-Schnatter, Sylvia (Recipient), 2011
Prize
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Elected Fellow of the International Society for Bayesian Analysis
Frühwirth-Schnatter, Sylvia (Recipient), 2018
Prize
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Elected Member of the International Statistical Institute
Frühwirth-Schnatter, Sylvia (Recipient), 2007
Prize