Sylvia Frühwirth-Schnatter

Sylvia Frühwirth-Schnatter

Wirtschaftsuniversität Wien

H-index: 43

Europe-Austria

About Sylvia Frühwirth-Schnatter

Sylvia Frühwirth-Schnatter, With an exceptional h-index of 43 and a recent h-index of 27 (since 2020), a distinguished researcher at Wirtschaftsuniversität Wien,

His recent articles reflect a diverse array of research interests and contributions to the field:

Package ‘shrinkTVP’

Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown

When it counts—Econometric identification of the basic factor model based on glt structures

Ultimate Pólya Gamma Samplers–Efficient MCMC for possibly imbalanced binary and categorical data

Bayesianische Inferenz

Dynamic Mixture of Finite Mixtures of Factor Analysers with Automatic Inference on the Number of Clusters and Factors

Bayesian Reconciliation of Return Predictability

Generalized cumulative shrinkage process priors with applications to sparse Bayesian factor analysis

Sylvia Frühwirth-Schnatter Information

University

Wirtschaftsuniversität Wien

Position

Professor of Applied Statistics and Econometrics

Citations(all)

9261

Citations(since 2020)

3782

Cited By

13605

hIndex(all)

43

hIndex(since 2020)

27

i10Index(all)

61

i10Index(since 2020)

47

Email

University Profile Page

Wirtschaftsuniversität Wien

Top articles of Sylvia Frühwirth-Schnatter

Title

Journal

Author(s)

Publication Date

Package ‘shrinkTVP’

Peter Knaus

Angela Bitto-Nemling

Annalisa Cadonna

Sylvia Frühwirth-Schnatter

Daniel Winkler

...

2024/2/18

Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown

Bayesian Analysis

Sylvia Frühwirth-Schnatter

Darjus Hosszejni

Hedibert Freitas Lopes

2024/1

When it counts—Econometric identification of the basic factor model based on glt structures

Econometrics

Sylvia Frühwirth-Schnatter

Darjus Hosszejni

Hedibert Freitas Lopes

2023/11/20

Ultimate Pólya Gamma Samplers–Efficient MCMC for possibly imbalanced binary and categorical data

Journal of the American Statistical Association

Gregor Zens

Sylvia Frühwirth-Schnatter

Helga Wagner

2023/11/9

Bayesianische Inferenz

Sylvia Frühwirth-Schnatter

Gregor Kastner

2023/9/10

Dynamic Mixture of Finite Mixtures of Factor Analysers with Automatic Inference on the Number of Clusters and Factors

arXiv preprint arXiv:2307.07045

Margarita Grushanina

Sylvia Frühwirth-Schnatter

2023/7/13

Bayesian Reconciliation of Return Predictability

Studies in Nonlinear Dynamics & Econometrics

Borys Koval

Sylvia Frühwirth-Schnatter

Leopold Sögner

2023/12/25

Generalized cumulative shrinkage process priors with applications to sparse Bayesian factor analysis

Sylvia Frühwirth-Schnatter

2023/5/15

The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models

arXiv preprint arXiv:2312.10487

Peter Knaus

Sylvia Frühwirth-Schnatter

2023/12/16

Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis

Australian & New Zealand Journal of Statistics

Jan Greve

Bettina Gruen

Gertraud Malsiner‐Walli

Sylvia Frühwirth‐Schnatter

2022/6

Cover it up! Bipartite graphs uncover identifiability in sparse factor analysis

arXiv preprint arXiv:2211.00671

Darjus Hosszejni

Sylvia Frühwirth-Schnatter

2022/11/1

Package ‘fipp’

Jan Greve

Bettina Grün

Gertraud Malsiner-Walli

Sylvia Frühwirth-Schnatter

Maintainer Jan Greve

2022/10/13

Sparse Bayesian State-Space and Time-Varying Parameter Models

arXiv preprint arXiv:2207.12147

Sylvia Frühwirth-Schnatter

Peter Knaus

2022/7/25

Efficient Variance Identification for Sparse Factor Analysis

Darjus Hosszejni

Sylvia Frühwirth-Schnatter

2022/7/1

How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action

Advances in data analysis and classification

Bettina Grün

Gertraud Malsiner-Walli

Sylvia Frühwirth-Schnatter

2022/6

Shrinkage in the time-varying parameter model framework using the R package shrinkTVP

Journal of Statistical Software

Peter Knaus

Angela Bitto-Nemling

Annalisa Cadonna

Sylvia Frühwirth-Schnatter

2021

Generalized mixtures of finite mixtures and telescoping sampling

Bayesian Analysis

Sylvia Frühwirth-Schnatter

Gertraud Malsiner-Walli

Bettina Grün

2021/12

Factor-augmented Bayesian treatment effects models for panel outcomes

arXiv preprint arXiv:2103.00977

Helga Wagner

Sylvia Frühwirth-Schnatter

Liana Jacobi

2021/3/1

Efficient Bayesian modeling of binary and categorical data in R: The UPG package

arXiv preprint arXiv:2101.02506

Gregor Zens

Sylvia Frühwirth-Schnatter

Helga Wagner

2021/1/7

ESTIMATING BAYESIAN MIXTURES OF FINITE MIXTURES WITH TELESCOPING SAMPLING

CLADAG

Sylvia Frühwirth-Schnatter

Bettina Grün

Gertraud Malsiner-Walli

2021

See List of Professors in Sylvia Frühwirth-Schnatter University(Wirtschaftsuniversität Wien)

Sylvia Frühwirth-Schnatter FAQs

What is Sylvia Frühwirth-Schnatter's h-index at Wirtschaftsuniversität Wien?

The h-index of Sylvia Frühwirth-Schnatter has been 27 since 2020 and 43 in total.

What are Sylvia Frühwirth-Schnatter's top articles?

The articles with the titles of

Package ‘shrinkTVP’

Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown

When it counts—Econometric identification of the basic factor model based on glt structures

Ultimate Pólya Gamma Samplers–Efficient MCMC for possibly imbalanced binary and categorical data

Bayesianische Inferenz

Dynamic Mixture of Finite Mixtures of Factor Analysers with Automatic Inference on the Number of Clusters and Factors

Bayesian Reconciliation of Return Predictability

Generalized cumulative shrinkage process priors with applications to sparse Bayesian factor analysis

...

are the top articles of Sylvia Frühwirth-Schnatter at Wirtschaftsuniversität Wien.

What is Sylvia Frühwirth-Schnatter's total number of citations?

Sylvia Frühwirth-Schnatter has 9,261 citations in total.