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  • Search: subject:"Dimension asymptotics"
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Year of publication
Subject
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Dimension asymptotics 3 Dimension Asymptotics 2 Estimation theory 2 Schätztheorie 2 APT model 1 Bootstrap 1 CAPM 1 F-Test 1 F-test 1 Factor analysis 1 Factor models 1 Faktorenanalyse 1 Forecasting 1 Gaussian copulas 1 Generalization Error 1 High-dimension asymptotics 1 Linear algebra 1 Linear discriminant analysis 1 Lineare Algebra 1 Many instruments/regressors 1 ModelSelection 1 Ordinary Least Squares 1 Ordinary least squares 1 Project management 1 Projection matrix 1 Projektmanagement 1 Return-risk ratio 1 Risikoprämie 1 Risk premium 1 Semiparametric model 1 Strong and weak factors 1 Time series analysis 1 Two-pass procedure 1 Zeitreihenanalyse 1 coefficient of variation 1 dimension asymptotics 1 increasing dimension asymptotics 1 jackknife 1 regression 1 t-test 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 5 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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Undetermined 5 English 3
Author
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Calhoun, Gray 3 Anatolyev, Stanislav 2 Bose, Arup 1 Chatterjee, Snigdhansu 1 Holgersson, Thomas 1 Karlsson, Peter 1 Mai, Qing 1 Mansoor, Rashid 1 Mikusheva, Anna 1 Smirnov, Maksim 1 Zou, Hui 1
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Institution
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Department of Economics, Iowa State University 2 Internationella Handelshögskolan, Högskolan i Jönköping 1
Published in...
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Staff General Research Papers / Department of Economics, Iowa State University 2 Annals of the Institute of Statistical Mathematics 1 Economics letters 1 JIBS Working Papers 1 Journal of Econometrics 1 Journal of Multivariate Analysis 1 Journal of econometrics 1
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Source
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RePEc 6 ECONIS (ZBW) 2
Showing 1 - 8 of 8
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Off-diagonal elements of projection matrices and dimension asymptotics
Anatolyev, Stanislav; Smirnov, Maksim - In: Economics letters 239 (2024), pp. 1-3
Persistent link: https://www.econbiz.de/10015076699
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Factor models with many assets : strong factors, weak factors, and the two-pass procedure
Anatolyev, Stanislav; Mikusheva, Anna - In: Journal of econometrics 229 (2022) 1, pp. 103-126
Persistent link: https://www.econbiz.de/10013441835
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Sparse semiparametric discriminant analysis
Mai, Qing; Zou, Hui - In: Journal of Multivariate Analysis 135 (2015) C, pp. 175-188
In recent years, a considerable amount of work has been devoted to generalizing linear discriminant analysis to overcome its incompetence for high-dimensional classification (Witten and Tibshirani, 2011, Cai and Liu, 2011, Mai et al., 2012 and Fan et al., 2012). In this paper, we develop...
Persistent link: https://www.econbiz.de/10011189569
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Out-Of-Sample Comparisons of Overfit Models
Calhoun, Gray - Department of Economics, Iowa State University - 2014
This paper uses dimension asymptotics to study why overfit linear regression models should be compared out …
Persistent link: https://www.econbiz.de/10008831646
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Hypothesis testing in linear regression when k/n is large
Calhoun, Gray - In: Journal of Econometrics 165 (2011) 2, pp. 163-174
This paper derives the asymptotic distribution of the F-test for the significance of linear regression coefficients as both the number of regressors, k, and the number of observations, n, increase together so that their ratio remains positive in the limit. The conventional critical values for...
Persistent link: https://www.econbiz.de/10010577507
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Estimating Mean-Standard Deviation Ratios of Financial Data
Holgersson, Thomas; Karlsson, Peter; Mansoor, Rashid - Internationella Handelshögskolan, Högskolan i Jönköping - 2011
This article treats the problem of linking the relation between excess return and risk of financial assets when the returns follow a factor structure. The authors propose three different estimators and their consistencies are established in cases when the number of assets in the cross-section...
Persistent link: https://www.econbiz.de/10008839250
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Hypothesis Testing in Linear Regression when K/N is Large
Calhoun, Gray - Department of Economics, Iowa State University - 2010
This paper derives the asymptotic distribution of the F-test for the significance of linear regression coefficients as both the number of regressors, k, and the number of observations, n, increase together so that their ratio remains positive in the limit. The conventional critical values for...
Persistent link: https://www.econbiz.de/10008763787
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Dimension Asymptotics for Generalised Bootstrap in Linear Regression
Chatterjee, Snigdhansu; Bose, Arup - In: Annals of the Institute of Statistical Mathematics 54 (2002) 2, pp. 367-381
Persistent link: https://www.econbiz.de/10005760240
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