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  • Search: subject:"Markov chain Monte Carlo method"
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Year of publication
Subject
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Bayes-Statistik 11 Bayesian inference 11 Markov-Ketten-Monte-Carlo-Verfahren 11 Markov chain 9 Markov-Kette 9 Monte Carlo simulation 9 Monte-Carlo-Simulation 9 Theorie 7 Theory 7 Bayes-Verfahren 4 Markov Chain Monte Carlo method 4 Estimation 3 Regression analysis 3 Regressionsanalyse 3 Schätzung 3 earnings effects 3 factor analysis 3 maternity leave 3 shared factor model 3 spike and slab priors 3 switching regression model 3 treatment effects models 3 variable selection 3 Bayes-Entscheidungstheorie 2 Deutschland 2 Eingeschränkte Rationalität 2 Factor analysis 2 Faktorenanalyse 2 Germany 2 Hedonic price index 2 Hedonischer Preis 2 Hedonischer Preisindex 2 Hierarchisches System 2 Immobilienpreis 2 Kovarianz <Stochastik> 2 Kriging 2 Markov chain Monte Carlo method 2 Markov-Feld 2 Modellierung 2 Multi-level-Verfahren 2
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Online availability
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Free 19
Type of publication
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Book / Working Paper 17 Article 1 Other 1
Type of publication (narrower categories)
All
Graue Literatur 13 Non-commercial literature 13 Working Paper 13 Arbeitspapier 12 Hochschulschrift 1 Thesis 1
Language
All
English 15 Undetermined 4
Author
All
Lang, Stefan 6 Umlauf, Nikolaus 6 Kneib, Thomas 4 Frühwirth-Schnatter, Sylvia 3 Jacobi, Liana 3 Wagner, Helga 3 Adler, Daniel 2 Brunauer, Wolfgang 2 Harttgen, Kenneth 2 Rinnergschwentner, Wolfgang 2 Tappeiner, Gottfried 2 Walde, Janette 2 Wechselberger, Peter 2 Zeileis, Achim 2 Asai, Manabu 1 Brian Reich 1 Chai, Jian 1 Chen, Cathy W.S. 1 Chen, Chih-nan 1 Gerlach, Richard 1 Gstach, Dieter 1 Heger, Diana 1 Ju’e Guo 1 Krachey, Elizabeth Catherine 1 Marie Davidian 1 McAleer, Michael 1 Piatek, Rémi 1 Sujit Ghosh 1 Wang, Shouyang 1 Wang, Shubin 1 Watanabe, Tsutomu 1 Wenbin Lu 1 Yabu, Tomoyoshi 1
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Institution
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Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes-Kepler-Universität Linz 1 Business School, University of Sydney 1 Institute for Monetary and Economic Studies, Bank of Japan 1
Published in...
All
Working papers in economics and statistics 8 Discussion paper / Tinbergen Institute 1 Energies 1 IMES Discussion Paper Series 1 NRN Working Paper, NRN: The Austrian Center for Labor Economics and the Analysis of the Welfare State 1 NRN working papers 1 Working Papers / Business School, University of Sydney 1 Working paper / Austrian Center for Labor Economics and the Analysis of the Welfare State 1 Working papers / Department of Economics, Vienna University of Economics and Business Administration 1 ZEW discussion papers 1
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Source
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ECONIS (ZBW) 13 RePEc 4 BASE 1 EconStor 1
Showing 1 - 10 of 19
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Bayesian analysis of realized matrix-exponential GARCH models
Asai, Manabu; McAleer, Michael - 2018
The paper develops a new realized matrix-exponential GARCH (MEGARCH) model, which uses the information of returns and realized measure of co-volatility matrix simultaneously. The paper also considers an alternative multivariate asymmetric function to develop news impact curves. We consider...
Persistent link: https://www.econbiz.de/10011794277
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Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave
Jacobi, Liana; Wagner, Helga; Frühwirth-Schnatter, Sylvia - 2014
Child birth leads to a break in a woman's employment history and is considered one reason for the relatively poor labor market outcomes observed for women compared to men. However, the time spent at home after child birth varies significantly across mothers and is likely driven by observed and,...
Persistent link: https://www.econbiz.de/10011310789
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Semi-parametric Expected Shortfall Forecasting
Chen, Cathy W.S.; Gerlach, Richard - Business School, University of Sydney - 2014
Intra-day sources of data have proven effective for dynamic volatility and tail risk estimation. Expected shortfall is a tail risk measure, that is now recommended by the Basel Committee, involving a conditional expectation that can be semi-parametrically estimated via an asymmetric sum of...
Persistent link: https://www.econbiz.de/10010857369
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Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave
Jacobi, Liana; Wagner, Helga; Frühwirth-Schnatter, Sylvia - Austrian Center for Labor Economics and the Analysis of … - 2014
Child birth leads to a break in a woman's employment history and is considered one reason for the relatively poor labor market outcomes observed for women compared to men. However, the time spent at home after child birth varies significantly across mothers and is likely driven by observed and,...
Persistent link: https://www.econbiz.de/10011075759
Saved in:
Cover Image
Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave
Jacobi, Liana; Wagner, Helga; Frühwirth-Schnatter, Sylvia - 2014
Child birth leads to a break in a woman's employment history and is considered one reason for the relatively poor labor market outcomes observed for women compared to men. However, the time spent at home after child birth varies significantly across mothers and is likely driven by observed and,...
Persistent link: https://www.econbiz.de/10011346040
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Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry
Chai, Jian; Wang, Shubin; Wang, Shouyang; Ju’e Guo - In: Energies 5 (2012) 3, pp. 577-598
analyzed. This was based on the Bayesian linear regression theory and Markov Chain Monte Carlo method (MCMC), establishing a …
Persistent link: https://www.econbiz.de/10011030986
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Structured additive regression models : an R interface to BayesX
Umlauf, Nikolaus; Adler, Daniel; Kneib, Thomas; Lang, Stefan - 2012
Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of...
Persistent link: https://www.econbiz.de/10009742080
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Multilevel structured additive regression
Lang, Stefan; Umlauf, Nikolaus; Wechselberger, Peter; … - 2012
Models with structured additive predictor provide a very broad and rich framework for complex regression modeling. They can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterogeneity and complex interactions between...
Persistent link: https://www.econbiz.de/10009742083
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Multilevel structured additive regression
Lang, Stefan; Umlauf, Nikolaus; Wechselberger, Peter; … - 2012
Persistent link: https://www.econbiz.de/10009571097
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Structured additive regression models : an R interface to BayesX
Umlauf, Nikolaus; Adler, Daniel; Kneib, Thomas; Lang, Stefan - 2012
Persistent link: https://www.econbiz.de/10009571133
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