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  • Search: subject:"High dimensional inference"
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Year of publication
Subject
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Estimation theory 8 Schätztheorie 8 Induktive Statistik 7 Statistical inference 7 high-dimensional inference 7 VAR model 4 VAR-Modell 4 High-dimensional inference 3 Statistical test 3 Statistischer Test 3 : extremum estimation 2 Algorithm 2 Algorithmus 2 Bayes-Statistik 2 Bayesian inference 2 Bayesian shrinkage 2 Bootstrap approach 2 Bootstrap-Verfahren 2 Forecasting model 2 Graph theory 2 Graphentheorie 2 High dimensional inference 2 John test 2 Prognoseverfahren 2 asymptotic refinemen 2 bootstrap based confidence intervals 2 nonlinear models 2 Asymptotic expansion of the posterior 1 Asymptotic power 1 Belief Propagation 1 Belief propagation 1 Bootstrap 1 Canonical link function 1 Causality analysis 1 Cross-sectional Dependence 1 Cross-sectional dependence 1 De-biasing 1 Factor analysis 1 Factor graph 1 Faktorenanalyse 1
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Online availability
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Free 7 Undetermined 7
Type of publication
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Article 8 Book / Working Paper 6
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Working Paper 5 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3
Language
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English 11 Undetermined 3
Author
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Baltagi, Badi H. 3 Kao, Chihwa 3 Korobilis, Dimitris 3 Feng, Qu 2 Horowitz, Joel 2 Rafi, Ahnaf 2 Bai, Yuehao 1 Dasgupta, Shibasish 1 Farias, Vivek F. 1 Ghosh, Malay 1 Gold, David 1 Götze, Friedrich 1 Hecq, Alain W. J. 1 Khare, Kshitij 1 Lederer, Johannes 1 Li, Andrew A. 1 Margaritella, Luca 1 Naumov, Alexey 1 Peng, Tianyi 1 Santos, Andres 1 Shaikh, Azeem M. 1 Smeekes, Stephan 1 Spokoiny, Vladimir 1 Tao, Jing 1 Ulyanov, Vladimir 1 Wang, Fa 1
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Institution
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Center for Policy Research, Maxwell School 1
Published in...
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 2 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Center for Policy Research Working Papers 1 Discussion papers / Adam Smith Business School, University of Glasgow 1 Econometric reviews 1 IRTG 1792 Discussion Paper 1 Journal of Econometrics 1 Journal of Multivariate Analysis 1 Journal of econometrics 1 Journal of financial econometrics 1 Manufacturing & service operations management : M & SOM 1 Working papers 1 cemmap working paper 1
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Source
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ECONIS (ZBW) 9 RePEc 3 EconStor 2
Showing 11 - 14 of 14
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A Lagrange Multiplier Test for Cross-Sectional Dependence in a Fixed Effects Panel Data Model
Baltagi, Badi H.; Feng, Qu; Kao, Chihwa - Center for Policy Research, Maxwell School - 2012
It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation in a SUR model is not appropriate for testing cross-sectional dependence in panel data models when the number of cross-sectional units (n) is large and the number of time periods (T) is small. In...
Persistent link: https://www.econbiz.de/10010598819
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Asymptotic power of the sphericity test under weak and strong factors in a fixed effects panel data model
Baltagi, Badi H.; Kao, Chihwa; Wang, Fa - In: Econometric reviews 36 (2017) 6/9, pp. 853-882
Persistent link: https://www.econbiz.de/10011795516
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Cover Image
Asymptotic expansion of the posterior density in high dimensional generalized linear models
Dasgupta, Shibasish; Khare, Kshitij; Ghosh, Malay - In: Journal of Multivariate Analysis 131 (2014) C, pp. 126-148
While developing a prior distribution for any Bayesian analysis, it is important to check whether the corresponding posterior distribution becomes degenerate in the limit to the true parameter value as the sample size increases. In the same vein, it is also important to understand a more...
Persistent link: https://www.econbiz.de/10010930748
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A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model
Baltagi, Badi H.; Feng, Qu; Kao, Chihwa - In: Journal of Econometrics 170 (2012) 1, pp. 164-177
It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation in a SUR model is not appropriate for testing cross-sectional dependence in panel data models when the number of cross-sectional units (n) is large and the number of time periods (T) is small. In...
Persistent link: https://www.econbiz.de/10011052261
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