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  • Search: subject:"Linear semi-infinite programming"
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Linear semi-infinite programming 8 Linear programming 2 Linear systems 2 Mathematical programming 2 Mathematische Optimierung 2 Stability 2 Theorie 2 Theory 2 Algorithm 1 Algorithmus 1 Approximation 1 Ausreißer 1 Bayesian robustness analysis 1 Conic programs 1 Convergence 1 Convex quadratic semi-infinite programming 1 Distributionally robust 1 Duality 1 Estimation theory 1 Extremal coefficients 1 Extreme Value-at-Risk 1 First order maximizer 1 Generalized ladder point optimal solution 1 Hierarchical mixture models 1 Moment theory 1 Nonparametric prior 1 Option-implied risk-neutral distribution 1 Outliers 1 Regular variation 1 Risikomanagement 1 Risikomaß 1 Risk management 1 Risk measure 1 Robust statistics 1 Robustes Verfahren 1 Schätztheorie 1 Stability of first order maximizers 1 Statistical distribution 1 Statistische Verteilung 1 Tawn-Molchanov 1
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Undetermined 8
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Article 9
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Article in journal 2 Aufsatz in Zeitschrift 2
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Undetermined 6 English 3
Author
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Goberna, Miguel 3 Amaya, Jorge 2 Betrò, Bruno 1 Bodini, Antonella 1 Cooley, Daniel 1 Dür, Mirjam 1 Guglielmi, Alessandra 1 Hernández, Lidia 1 IBARAKI, TOSHIHIDE 1 Ito, S. 1 Jargalsaikhan, Bolor 1 Liu, Y. 1 Liu, Yanqun 1 NISHIHARA, MICHI 1 Still, Georg 1 Stoev, Stilian 1 Teo, K. 1 Todorov, Maxim 1 YAGIURA, MUTSUNORI 1 Yuen, Robert 1
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Annals of the Institute of Statistical Mathematics 1 Asia-Pacific Journal of Operational Research (APJOR) 1 Computational Statistics 1 Insurance / Mathematics & economics 1 Journal of Global Optimization 1 Mathematical Methods of Operations Research 1 Mathematical methods of operations research 1 TOP: An Official Journal of the Spanish Society of Statistics and Operations Research 1 Top : transactions in operations research 1
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RePEc 6 ECONIS (ZBW) 3
Showing 1 - 9 of 9
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Distributionally robust inference for extreme Value-at-Risk
Yuen, Robert; Stoev, Stilian; Cooley, Daniel - In: Insurance / Mathematics & economics 92 (2020), pp. 70-89
Persistent link: https://www.econbiz.de/10012242040
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Generalized corner optimal solution for LSIP : existence and numerical computation
Liu, Yanqun - In: Top : transactions in operations research 24 (2016) 1, pp. 19-43
Persistent link: https://www.econbiz.de/10011670099
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First order solutions in conic programming
Dür, Mirjam; Jargalsaikhan, Bolor; Still, Georg - In: Mathematical methods of operations research 82 (2015) 2, pp. 123-142
Persistent link: https://www.econbiz.de/10011374642
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COMPUTING BOUNDS ON RISK-NEUTRAL DISTRIBUTIONS FROM THE OBSERVED PRICES OF CALL OPTIONS
NISHIHARA, MICHI; YAGIURA, MUTSUNORI; IBARAKI, TOSHIHIDE - In: Asia-Pacific Journal of Operational Research (APJOR) 27 (2010) 02, pp. 211-225
This paper derives, in closed forms, upper and lower bounds on risk-neutral cumulative distribution functions of the underlying asset price from the observed prices of European call options, based only on the no-arbitrage assumption. The computed bounds from the option price data show that the...
Persistent link: https://www.econbiz.de/10008464903
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On the stability of linear systems with an exact constraint set
Amaya, Jorge; Goberna, Miguel - In: Computational Statistics 63 (2006) 1, pp. 107-121
This paper deals with the stability of the intersection of a given set $$ X\subset \mathbb{R}^{n}$$ with the solution, $$F\subset \mathbb{R}^{n}$$ , of a given linear system whose coefficients can be arbitrarily perturbed. In the optimization context, the fixed constraint set X can be the...
Persistent link: https://www.econbiz.de/10010847485
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On the stability of linear systems with an exact constraint set
Amaya, Jorge; Goberna, Miguel - In: Mathematical Methods of Operations Research 63 (2006) 1, pp. 107-121
This paper deals with the stability of the intersection of a given set <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$ X\subset \mathbb{R}^{n}$$</EquationSource> </InlineEquation>with the solution, <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$F\subset \mathbb{R}^{n}$$</EquationSource> </InlineEquation>, of a given linear system whose coefficients can be arbitrarily perturbed. In the optimization context, the fixed constraint set X can be the...</equationsource></inlineequation></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010999529
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Generalized Moment Theory and Bayesian Robustness Analysis for Hierarchical Mixture Models
Betrò, Bruno; Bodini, Antonella; Guglielmi, Alessandra - In: Annals of the Institute of Statistical Mathematics 58 (2006) 4, pp. 721-738
Persistent link: https://www.econbiz.de/10005169202
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Separating the solution sets of analytical and polynomial systems
Goberna, Miguel; Hernández, Lidia; Todorov, Maxim - In: TOP: An Official Journal of the Spanish Society of … 13 (2005) 2, pp. 321-329
Persistent link: https://www.econbiz.de/10005598335
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An Approximation Approach to Non-strictly Convex Quadratic Semi-infinite Programming
Ito, S.; Liu, Y.; Teo, K. - In: Journal of Global Optimization 30 (2004) 2, pp. 195-206
Persistent link: https://www.econbiz.de/10008925252
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