受强制性开放获取政策约束的文章 - Sylvia Frühwirth-Schnatter了解详情
无法在其他位置公开访问的文章：5 篇
Model-based clustering of multiple time series
S Fröhwirth-Schnatter, S Kaufmann
Journal of Business & Economic Statistics 26 (1), 78-89, 2008
强制性开放获取政策： Austrian Science Fund
Data augmentation and MCMC for binary and multinomial logit models
S Frühwirth-Schnatter, R Frühwirth
Statistical modelling and regression structures: Festschrift in honour of …, 2010
强制性开放获取政策： Austrian Science Fund
Panel data analysis: a survey on model-based clustering of time series
S Frühwirth-Schnatter
Advances in Data Analysis and Classification 5, 251-280, 2011
强制性开放获取政策： Austrian Science Fund
Bayesian latent class metric conjoint analysis—A case study from the Austrian mineral water market
T Otter, R Tüchler, S Frühwirth-Schnatter
Exploratory Data Analysis in Empirical Research: Proceedings of the 25th …, 2012
强制性开放获取政策： Austrian Science Fund
Neural network models for conditional distribution under bayesian analysis
T Miazhynskaia, S Frühwirth-Schnatter, G Dorffner
Neural computation 20 (2), 504-522, 2008
强制性开放获取政策： Austrian Science Fund
可在其他位置公开访问的文章：27 篇
Model-based clustering based on sparse finite Gaussian mixtures
G Malsiner-Walli, S Frühwirth-Schnatter, B Grün
Statistics and computing 26 (1), 303-324, 2016
强制性开放获取政策： Austrian Science Fund
Bayesian exploratory factor analysis
G Conti, S Frühwirth-Schnatter, JJ Heckman, R Piatek
Journal of econometrics 183 (1), 31-57, 2014
强制性开放获取政策： US National Institutes of Health, Austrian Science Fund, European Commission
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
S Frühwirth-Schnatter, G Malsiner-Walli
Advances in data analysis and classification 13, 33-64, 2019
强制性开放获取政策： Austrian Science Fund
Identifying mixtures of mixtures using Bayesian estimation
G Malsiner-Walli, S Frühwirth-Schnatter, B Grün
Journal of Computational and Graphical Statistics 26 (2), 285-295, 2017
强制性开放获取政策： Austrian Science Fund
Model-based clustering of categorical time series
S Frühwirth-Schnatter, C Pamminger
强制性开放获取政策： Austrian Science Fund
Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering
S Frühwirth‐Schnatter, C Pamminger, A Weber, R Winter‐Ebmer
Journal of Applied Econometrics 27 (7), 1116-1137, 2012
强制性开放获取政策： Austrian Science Fund
Markov chain Monte Carlo methods for parameter estimation in multidimensional continuous time Markov switching models
M Hahn, S Frühwirth-Schnatter, J Sass
Journal of Financial Econometrics 8 (1), 88-121, 2010
强制性开放获取政策： Austrian Science Fund, German Research Foundation
Generalized mixtures of finite mixtures and telescoping sampling
S Frühwirth-Schnatter, G Malsiner-Walli, B Grün
Bayesian Analysis 16 (4), 1279-1307, 2021
强制性开放获取政策： Austrian Science Fund
Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave
L Jacobi, H Wagner, S Frühwirth-Schnatter
Journal of Econometrics 193 (1), 234-250, 2016
强制性开放获取政策： Austrian Science Fund
Bayesian estimation of stochastic volatility models based on OU processes with marginal Gamma law
S Frühwirth-Schnatter, L Sögner
Annals of the Institute of Statistical Mathematics 61, 159-179, 2009
强制性开放获取政策： Austrian Science Fund
Mothers' long-run career patterns after first birth
S Frühwirth-Schnatter, C Pamminger, A Weber, R Winter-Ebmer
Journal of the Royal Statistical Society Series A: Statistics in Society 179 …, 2016
强制性开放获取政策： Austrian Science Fund
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis
J Greve, B Grün, G Malsiner‐Walli, S Frühwirth‐Schnatter
Australian & New Zealand Journal of Statistics 64 (2), 205-229, 2022
强制性开放获取政策： Austrian Science Fund
Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
S Frühwirth-Schnatter, S Pittner, A Weber, R Winter-Ebmer
The Annals of Applied Statistics 12 (3), 1796-1830, 2018
强制性开放获取政策： Austrian Science Fund
How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action
B Grün, G Malsiner-Walli, S Frühwirth-Schnatter
Advances in data analysis and classification 16 (2), 325-349, 2022
强制性开放获取政策： Austrian Science Fund
Estimating models based on Markov jump processes given fragmented observation series
M Hahn, S Frühwirth-Schnatter, J Sass
AStA Advances in Statistical Analysis 93, 403-425, 2009
强制性开放获取政策： Austrian Science Fund, German Research Foundation
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