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  • Search: subject:"linear process"
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Year of publication
Subject
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linear process 11 Linear process 7 Asymptotic normality 5 Estimation theory 5 Schätztheorie 5 Time series analysis 5 Zeitreihenanalyse 5 Einheitswurzeltest 3 Unit root test 3 Autocorrelation 2 Autokorrelation 2 Cauchy distribution 2 Decomposition 2 FM regression 2 Long memory 2 Regression analysis 2 Regressionsanalyse 2 Semimartingale 2 Shannon entropy 2 Stochastic integral 2 Stochastic process 2 Stochastischer Prozess 2 Theorie 2 Theory 2 conditional heteroskedasticity 2 explosive autoregression 2 kernel entropy estimation 2 largest eigenvalue 2 long-range dependence 2 mixingale 2 near unit root test 2 triangular array 2 $\alpha$-stable distribution 1 Autogregressive approximation 1 Autoregressive approximation, Linear process, Strong dependence, Sieve bootstrap, Stationary process 1 Consumption-income model 1 Domain of attraction 1 Endogeneity 1 Entropie 1 Entropy 1
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Online availability
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Free 22 CC license 1
Type of publication
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Book / Working Paper 20 Article 2
Type of publication (narrower categories)
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Working Paper 8 Arbeitspapier 6 Graue Literatur 6 Non-commercial literature 6 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
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Language
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English 16 Undetermined 6
Author
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Gao, Jiti 5 Honda, Toshio 3 Pan, Guangming 3 Zhang, Bo 3 Fortune, Timothy 2 Liang, Hanying 2 Magdalinos, Tassos 2 Petrova, Katerina 2 Phillips, Peter C. B. 2 Sang, Hailin 2 Wang, Hanchao 2 Wang, Qiying 2 Abadir, K.M. 1 Bravo, Francesco 1 Distaso, W. 1 Dong, Chaohua 1 Giraitis, L. 1 Giraitis, Liudas 1 Gouriéroux, Christian 1 Gupta, Abhimanyu 1 Hristova, Daniela 1 Jeganathan, P. 1 Kapetanios, George 1 Koul, H.L. 1 Phillips, Peter C.B. 1 Psaradakis, Zacharias 1 Zakoian, Jean-Michel 1
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Institution
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Cowles Foundation for Research in Economics, Yale University 3 Graduate School of Economics, Hitotsubashi University 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Department of Econometrics and Business Statistics, Monash Business School 1 Department of Economics and Related Studies, University of York 1 Institute of Economic Research, Hitotsubashi University 1 Rimini Centre for Economic Analysis (RCEA) 1 Society for Computational Economics - SCE 1
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Published in...
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Cowles Foundation Discussion Papers 3 Working paper / Department of Econometrics and Business Statistics, Monash University 3 Discussion Papers / Graduate School of Economics, Hitotsubashi University 2 MPRA Paper 2 Computing in Economics and Finance 2004 1 Cowles Foundation discussion paper 1 Discussion Papers / Department of Economics and Related Studies, University of York 1 Discussion paper series / University of Essex, Department of Economics 1 Global COE Hi-Stat Discussion Paper Series 1 Journal of Risk and Financial Management 1 Journal of risk and financial management : JRFM 1 Monash Econometrics and Business Statistics Working Papers 1 Staff Reports 1 Staff reports / Federal Reserve Bank of New York 1 Working Paper 1 Working Paper Series / Rimini Centre for Economic Analysis (RCEA) 1
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Source
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RePEc 12 ECONIS (ZBW) 7 EconStor 3
Showing 1 - 10 of 22
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OLS limit theory for drifting sequences of parameters on the explosive side of unity
Magdalinos, Tassos; Petrova, Katerina - 2024
A limit theory is developed for the least squares estimator for mildly and purely explosive autoregressions under drifting sequences of parameters with autoregressive roots ρn satisfying ρn Ç ρ ∈ (-É, -1] ∪ [1, É) and n (
Persistent link: https://www.econbiz.de/10015054281
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OLS limit theory for drifting sequences of parameters on the explosive side of unity
Magdalinos, Tassos; Petrova, Katerina - 2024
and for the primitive innovations of the linear process, which are allowed to be heteroskedastic L1-mixingales. The paper …) → ∞. Drifting sequences of innovations and initial conditions are also considered. A standard specification of a short memory linear … process for the autoregressive innovations is extended to a triangular array formulation both for the deterministic weights …
Persistent link: https://www.econbiz.de/10015051928
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Shannon entropy estimation for linear processes
Fortune, Timothy; Sang, Hailin - In: Journal of Risk and Financial Management 13 (2020) 9, pp. 1-13
In this paper, we estimate the Shannon entropy S(f)=-E[log(f(x))] of a one-sided linear process with probability …
Persistent link: https://www.econbiz.de/10012611430
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Shannon entropy estimation for linear processes
Fortune, Timothy; Sang, Hailin - In: Journal of risk and financial management : JRFM 13 (2020) 9/205, pp. 1-13
In this paper, we estimate the Shannon entropy S(f)=-E[log(f(x))] of a one-sided linear process with probability …
Persistent link: https://www.econbiz.de/10012384577
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Estimation and testing for high- dimensional near unit root time series
Zhang, Bo; Gao, Jiti; Pan, Guangming - 2020
Persistent link: https://www.econbiz.de/10012606951
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A near unit root test for high-dimensional nonstationary time series
Zhang, Bo; Gao, Jiti; Pan, Guangming - 2019
Persistent link: https://www.econbiz.de/10012592727
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CLT for largest eigenvalues and unit root tests for high-dimensional nonstationary time series
Zhang, Bo; Pan, Guangming; Gao, Jiti - 2016
Persistent link: https://www.econbiz.de/10011781720
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Estimation of spatial autoregressions with stochastic weight matrices
Gupta, Abhimanyu - 2015
Persistent link: https://www.econbiz.de/10011393188
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Weak Convergence to Stochastic Integrals for Econometric Applications
Liang, Hanying; Phillips, Peter C.B.; Wang, Hanchao; … - Cowles Foundation for Research in Economics, Yale University - 2014
asymptotic development and we provide limit results for such covariances when linear process, long memory, and mixing variates …
Persistent link: https://www.econbiz.de/10011096424
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On uniqueness of moving average representations of heavy-tailed stationary processes
Gouriéroux, Christian; Zakoian, Jean-Michel - Volkswirtschaftliche Fakultät, … - 2014
We prove the uniqueness of linear i.i.d. representations of heavy-tailed processes whose distribution belongs to the domain of attraction of an $\alpha$-stable law, with $\alpha2$. This shows the possibility to identify nonparametrically both the sequence of two-sided moving average coefficients...
Persistent link: https://www.econbiz.de/10011107938
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