Sylvia Frühwirth-Schnatter
Sylvia Frühwirth-Schnatter
Professor of Applied Statistics and Econometrics, WU Vienna University of Economics and Business
Verified email at wu.ac.at
Title
Cited by
Cited by
Year
Finite mixture and Markov switching models
S Frühwirth-Schnatter, S Frèuhwirth-Schnatter
Springer, 2006
20682006
Data augmentation and dynamic linear models
S Frühwirth‐Schnatter
Journal of time series analysis 15 (2), 183-202, 1994
10611994
Markov chain Monte Carlo estimation of classical and dynamic switching and mixture models
S Frühwirth-Schnatter
Journal of the American Statistical Association 96 (453), 194-209, 2001
5642001
Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models
G Kastner, S Frühwirth-Schnatter
Computational Statistics & Data Analysis 76, 408-423, 2014
2612014
Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques
S Frühwirth‐Schnatter
The Econometrics Journal 7 (1), 143-167, 2004
2222004
Stochastic model specification search for Gaussian and partial non-Gaussian state space models
S Frühwirth-Schnatter, H Wagner
Journal of Econometrics 154 (1), 85-100, 2010
2032010
Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions
S Frühwirth-Schnatter, S Pyne
Biostatistics 11 (2), 317-336, 2010
1962010
Auxiliary mixture sampling for parameter-driven models of time series of counts with applications to state space modelling
S Frühwirth-Schnatter, H Wagner
Biometrika 93 (4), 827-841, 2006
1502006
Data augmentation and MCMC for binary and multinomial logit models
S Frühwirth-Schnatter, R Frühwirth
Statistical modelling and regression structures, 111-132, 2010
1222010
Auxiliary mixture sampling with applications to logistic models
S Fruehwirth-Schnatter, R Frühwirth
Computational Statistics & Data Analysis 51 (7), 3509-3528, 2007
1192007
Bayesian exploratory factor analysis
G Conti, S Frühwirth-Schnatter, JJ Heckman, R Piatek
Journal of econometrics 183 (1), 31-57, 2014
1172014
Model-based clustering based on sparse finite Gaussian mixtures
G Malsiner-Walli, S Frühwirth-Schnatter, B Grün
Statistics and computing 26 (1-2), 303-324, 2016
1132016
Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data
S Frühwirth-Schnatter, R Frühwirth, L Held, H Rue
Statistics and Computing 19 (4), 479-492, 2009
1022009
Achieving shrinkage in a time-varying parameter model framework
A Bitto, S Frühwirth-Schnatter
Journal of Econometrics 210 (1), 75-97, 2019
1012019
Bayesian model discrimination and Bayes factors for linear Gaussian state space models
S Frühwirth‐Schnatter
Journal of the Royal Statistical Society: Series B (Methodological) 57 (1 …, 1995
981995
On fuzzy Bayesian inference
S Frühwirth-Schnatter
Fuzzy sets and systems 60 (1), 41-58, 1993
921993
Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering
S Frühwirth-Schnatter
Statistics and Computing 4 (4), 259-269, 1994
911994
Efficient Bayesian inference for multivariate factor stochastic volatility models
G Kastner, S Frühwirth-Schnatter, HF Lopes
Journal of Computational and Graphical Statistics 26 (4), 905-917, 2017
872017
On statistical inference for fuzzy data with applications to descriptive statistics
S Frühwirth-Schnatter
Fuzzy sets and systems 50 (2), 143-165, 1992
871992
Bayesian analysis of switching ARCH models
S Kaufmann, S Frühwirth‐Schnatter
Journal of Time Series Analysis 23 (4), 425-458, 2002
772002
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