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  • Search: subject:"error bound"
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Year of publication
Subject
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Error bound 26 Mathematical programming 10 Mathematische Optimierung 10 Theorie 10 Theory 10 Estimation theory 8 Schätztheorie 8 Statistical error 5 Statistischer Fehler 5 error bound 5 Algorithm 3 Algorithmus 3 Approximation 3 Local error bound condition 3 Markov chain 3 Markov-Kette 3 Trust region method 3 p-median 3 Aggregation 2 Approximate factor models 2 Coordinate gradient descent 2 Covering 2 Derivat 2 Derivative 2 Determining the number of weak factors 2 Disaggregation 2 Dynamic programming 2 Dynamische Optimierung 2 Estimation 2 Factor analysis 2 Factor selection consistency 2 Faktorenanalyse 2 Firm security returns 2 Forecasting bond yields 2 Global convergence 2 Jordan product 2 LMIs 2 Level set 2 Levenberg-Marquardt method 2 Local error bound 2
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Online availability
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Undetermined 42 Free 8 CC license 1
Type of publication
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Article 48 Book / Working Paper 5
Type of publication (narrower categories)
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Article in journal 21 Aufsatz in Zeitschrift 21 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1
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Language
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Undetermined 28 English 25
Author
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Uematsu, Yoshimasa 3 Yamagata, Takashi 3 Chen, Jein-Shan 2 Fan, Jinyan 2 Huynh Van Ngai 2 Tseng, Paul 2 Wang, Yong 2 Yao, Jen Chih 2 Zhang, Ju-liang 2 Al-Homidan, Suliman 1 Ansari, Qamrul Hasan 1 Antoniou, Margarita 1 Axsäter, Sven 1 Bai, Zhidong 1 Behling, R. 1 Budish, Eric B. 1 Caruso, Francesco 1 Ceparano, Maria Carmela 1 Chang, Lo-Bin 1 Chen, Xiaojun 1 Cui, Jiangtao 1 Dao, Anh 1 Davanloo Tajbakhsh, Sam 1 Doan, Chi 1 Dreves, Axel 1 Drusvyatskiy, Dmitriy 1 Dufour, François 1 Facchinei, Francisco 1 Fang, Shu-Cherng 1 Fewtrell, Timothy 1 Fischer, A. 1 Fischer, Andreas 1 Francis, Richard 1 Francis, Richard L. 1 Ginovyan, Mamikon S. 1 Gonon, Lukas 1 Guo, Fang-Fang 1 He, Yiran 1 Hefter, Mario 1 Herrich, M. 1
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Institution
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Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
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Computational Optimization and Applications 11 Operations research letters 5 Journal of Global Optimization 3 Mathematics of operations research 3 Asia-Pacific Journal of Operational Research (APJOR) 2 Computational Statistics 2 Finance and stochastics 2 Mathematical Methods of Operations Research 2 TOP: An Official Journal of the Spanish Society of Statistics and Operations Research 2 Top : transactions in operations research 2 4OR : a quarterly journal of operations research 1 Computational economics 1 Discussion paper / Institute of Social and Economic Research 1 Econometric Institute Report 1 Econometric Institute Research Papers 1 Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics 1 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 ISER Discussion Paper 1 International transactions in operational research : a journal of the International Federation of Operational Research Societies 1 Journal of Multivariate Analysis 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of mathematical economics 1 Management Science 1 Mathematical methods of operations research : ZOR 1 Mathematics and Computers in Simulation (MATCOM) 1 Natural Hazards 1 Operations research perspectives 1 Statistics & Probability Letters 1 Working paper 1
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Source
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RePEc 28 ECONIS (ZBW) 23 EconStor 2
Showing 1 - 10 of 53
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An inexact regularized proximal Newton method without line search
vom Dahl, Simeon; Kanzow, Christian - In: Computational Optimization and Applications 89 (2024) 3, pp. 585-624
iterations and its superlinear convergence rate under a local Hölderian error bound assumption are shown. Notably, these …
Persistent link: https://www.econbiz.de/10015361797
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δ-perturbation of bilevel optimization problems : an error bound analysis
Antoniou, Margarita; Sinha, Ankur; Papa, Gregor - In: Operations research perspectives 13 (2024), pp. 1-19
-perturbed formulation is approximately equivalent to the original optimistic or pessimistic formulation and give an error bound for the …
Persistent link: https://www.econbiz.de/10015372639
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Deep neural network expressivity for optimal stopping problems
Gonon, Lukas - In: Finance and stochastics 28 (2024) 3, pp. 865-910
Persistent link: https://www.econbiz.de/10015130415
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Convergence rate analysis of the multiplicative gradient method for PET-type problems
Zhao, Renbo - In: Operations research letters 51 (2023) 1, pp. 26-32
Persistent link: https://www.econbiz.de/10014283282
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Estimation of sparsity-induced weak factor models
Uematsu, Yoshimasa; Yamagata, Takashi - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 1, pp. 213-227
Persistent link: https://www.econbiz.de/10013540797
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Best response algorithms in ratio-bounded games: convergence of affine relaxations to Nash equilibria
Caruso, Francesco; Ceparano, Maria Carmela; Morgan, … - 2020
Persistent link: https://www.econbiz.de/10012502790
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Lower bounds on approximation errors to numerical solutions of dynamic economic models
Judd, Kenneth L.; Maliar, Lilia; Maliar, Serguei - In: Econometrica : journal of the Econometric Society, an … 85 (2017) 3, pp. 991-1012
Persistent link: https://www.econbiz.de/10011778837
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Estimation of weak factor models
Uematsu, Yoshimasa; Yamagata, Takashi - 2019
In this paper, we propose a novel consistent estimation method for the approximate factor model of Chamberlain and Rothschild (1983), with large cross-sectional and timeseries dimensions (N and T, respectively). Their model assumes that the r (fi N) largest eigenvalues of data covariance matrix...
Persistent link: https://www.econbiz.de/10012430007
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Estimation of weak factor models
Uematsu, Yoshimasa; Yamagata, Takashi - 2019
In this paper, we propose a novel consistent estimation method for the approximate factor model of Chamberlain and Rothschild (1983), with large cross-sectional and timeseries dimensions (N and T, respectively). Their model assumes that the r (fi N) largest eigenvalues of data covariance matrix...
Persistent link: https://www.econbiz.de/10012024724
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Confidence regions of two-stage stochastic linear complementarity problems
Liu, Yongchao; Yan, Wuwenqing; Zhao, Shengchao - In: International transactions in operational research : a … 29 (2022) 1, pp. 48-62
Persistent link: https://www.econbiz.de/10012630721
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