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  • Search: subject:"Bayesian variable"
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Year of publication
Subject
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Bayesian variable selection 26 Bayesian inference 16 Bayes-Statistik 14 Theorie 8 Theory 8 Estimation 7 Schätzung 7 Forecasting model 5 Prognoseverfahren 5 Estimation theory 4 Markov Chain Monte Carlo 4 Markov chain 4 Markov-Kette 4 Monte Carlo simulation 4 Monte-Carlo-Simulation 4 Portfolio selection 4 Portfolio-Management 4 Schätztheorie 4 Correlation 3 Correlation stress testing 3 Economic forecast 3 Korrelation 3 Mixture-of-experts 3 Regression analysis 3 Regressionsanalyse 3 Survival Analysis 3 Wirtschaftsprognose 3 factor selection 3 Bank risk 2 Bankrisiko 2 Bayesian model averaging 2 Correlation prior 2 Exchange rate 2 Forecast 2 Frühindikator 2 Leading indicator 2 Market risk 2 Marktrisiko 2 Prognose 2 Risikomanagement 2
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Online availability
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Undetermined 16 Free 13 CC license 1
Type of publication
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Article 20 Book / Working Paper 11
Type of publication (narrower categories)
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Article in journal 12 Aufsatz in Zeitschrift 12 Working Paper 6 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Article 1
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Language
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English 19 Undetermined 12
Author
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Packham, Natalie 3 Quiroz, Matias 3 Villani, Mattias 3 Fouskakis, Dimitris 2 Girón, F.J. 2 Hauzenberger, Niko 2 Huber, Florian 2 Kim, Young Min 2 Koop, Gary 2 Negrín, M.A. 2 Ntzoufras, Ioannis 2 Ouysse, Rachida 2 Vázquez-Polo, F.J. 2 Wöbbeking, Carl Fabian 2 Xiang, Ju 2 Yang, Aijun 2 Yang, Hongqiang 2 Celeux, Gilles 1 Chen, Ray-Bing 1 Chen, Yi-Chi 1 Chu, Chi-Hsiang 1 Cottet, Remy 1 Cruz-García, Paula 1 Di Credico, Gioia 1 El Anbari, Mohammed 1 Fiebig, Denzil 1 Forte, Anabel 1 Fouskakis, D. 1 Huang, Hengzhen 1 Hwang, Soosung 1 Jinguan, Lin 1 Jung, Hojin 1 Kim, Jong-Min 1 Kim, Myeong Hyeon 1 Lanne, Markku 1 Lee, Hakbae 1 Lee, Kuo-Jung 1 Lee, Seojin 1 Liu, Min-Qian 1 Luoto, Jani 1
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Institution
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Econometric Society 1 School of Economics, UNSW Business School 1 Sveriges Riksbank 1 Université Paris-Dauphine (Paris IX) 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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European Journal of Operational Research 3 Computational economics 2 Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet 2 Applied economic analysis : AEA 1 Applied economics 1 Australian Journal of Management 1 Computational Statistics 1 Computational Statistics & Data Analysis 1 Contributions to Economic Analysis & Policy 1 Discussion Papers / School of Economics, UNSW Business School 1 Econometric Society 2004 Australasian Meetings 1 Econometrics 1 Econometrics : open access journal 1 Economics Papers from University Paris Dauphine 1 IRTG 1792 Discussion Paper 1 IRTG 1792 discussion paper 1 International journal of forecasting 1 International review of economics & finance : IREF 1 Journal of Asian economics 1 Journal of economic behavior & organization : JEBO 1 Journal of financial econometrics 1 MPRA Paper 1 Research paper series 1 Strathclyde discussion papers in economics 1 Sveriges Riksbank Working Paper Series 1 Sveriges Riksbank working paper series 1 Working Paper Series / Sveriges Riksbank 1
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Source
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ECONIS (ZBW) 16 RePEc 12 EconStor 3
Showing 21 - 30 of 31
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Comparison of Bayesian moving Average and Principal Component Forecast for Large Dimensional Factor Models.
Ouysse, Rachida - School of Economics, UNSW Business School - 2011
The growing availability of financial and macroeconomic data sets including a large number of time series (hence the high dimensionality) calls for econometric methods providing a convenient and parsimonious representation of the covariance structure both in the time and the cross-sectional...
Persistent link: https://www.econbiz.de/10010618311
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Bayesian model averaging and principal component regression forecasts in a data rich environment
Ouysse, Rachida - In: International journal of forecasting 32 (2016) 3, pp. 763-787
Persistent link: https://www.econbiz.de/10011621808
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Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs
Huang, Hengzhen; Yang, Jinyu; Liu, Min-Qian - In: Computational Statistics & Data Analysis 72 (2014) C, pp. 1-12
important goal in the analysis of such designs is to identify active effects based on the effect sparsity assumption. A Bayesian … variable selection strategy which combines the advantages of the componentwise Gibbs sampler (see Chen et al., 2011) and the …
Persistent link: https://www.econbiz.de/10011056588
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Optimal treatments in cost-effectiveness analysis in the presence of covariates: Improving patient subgroup definition
Moreno, E.; Girón, F.J.; Martínez, M.L.; … - In: European Journal of Operational Research 226 (2013) 1, pp. 173-182
of the effectiveness and the cost, conditional on the effectiveness. In this paper, we argue that the Bayesian variable …
Persistent link: https://www.econbiz.de/10011052535
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Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods
Fouskakis, D. - In: European Journal of Operational Research 220 (2012) 2, pp. 414-422
In this paper the usage of a stochastic optimization algorithm as a model search tool is proposed for the Bayesian … variable selection problem in generalized linear models. Combining aspects of three well known stochastic optimization …
Persistent link: https://www.econbiz.de/10011052443
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Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis
Moreno, Elías; Girón, F.J.; Vázquez-Polo, F.J.; … - In: European Journal of Operational Research 218 (2012) 2, pp. 512-522
This paper deals with the decision problem of choosing an optimal medical treatment, among M possible candidates, when the states of nature are the net benefit of the treatments, and regression models for the treatment cost and effectiveness are assumed. In this setting a crucial step in the...
Persistent link: https://www.econbiz.de/10011052512
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Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation
Celeux, Gilles; El Anbari, Mohammed; Marin, Jean-Michel; … - Université Paris-Dauphine (Paris IX) - 2012
We propose a global noninformative approach for Bayesian variable selection that builds on Zellner's g-priors and is …
Persistent link: https://www.econbiz.de/10010708741
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Predicting Resource Policy Outcomes via Meta-Regression: Data Space, Model Space, and the Quest for 'Optimal Scope'
Moeltner, Klaus; Rosenberger, Randall - In: Contributions to Economic Analysis & Policy 8 (2008) 1, pp. 2028-2028
Resource-managing agencies are increasingly relying on secondary data to predict economic benefits for planned policy interventions. This `transfer of benefits' is often based on a quantitative synthesis of aggregate results for similar past interventions via Meta-Regression Models. However,...
Persistent link: https://www.econbiz.de/10005086805
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Bayesian selection of primary resolution and wavelet basis functions for wavelet regression
Park, Chun; Oh, Hee-Seok; Lee, Hakbae - In: Computational Statistics 23 (2008) 2, pp. 291-302
Persistent link: https://www.econbiz.de/10005613190
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Capital Structure Decisions Under Classical and Imputation Tax Systems: A Natural Test for Tax Effects in Australia
Pattenden, Kerry - In: Australian Journal of Management 31 (2006) 1, pp. 67-92
The paper investigates determinants of capital structure, focusing on tax incentives for debt. The paper makes use of a panel of Australian firms in two tax regimes: a classical regime, and a dividend imputation regime. An important feature is the identification of the economic model using...
Persistent link: https://www.econbiz.de/10010769450
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