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EM algorithm 47 Bootstrap 37 Variable selection 36 Model selection 35 Markov chain Monte Carlo 34 Maximum likelihood 25 Robustness 24 Simulation 23 Classification 22 Dynamic programming 22 Bayesian inference 19 Markov decision processes 19 Confidence interval 18 Quantile regression 18 Clustering 17 Consistency 17 Dimension reduction 17 MCMC 16 Survival analysis 15 Functional data 14 Functional data analysis 14 Generalized linear models 14 Importance sampling 14 Longitudinal data 14 Maximum likelihood estimation 14 Nonparametric regression 14 Optimal control 14 Robust estimation 14 Core 13 Linear programming 13 Logistic regression 13 Monte Carlo simulation 13 Density estimation 12 Lasso 12 Optimization 12 Random effects 12 Regularization 12 Shapley value 12 Cluster analysis 11 Gibbs sampling 11
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Undetermined 6,248 Free 5
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Article 6,272 Book / Working Paper 17
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Collection of articles of several authors 4 Sammelwerk 4 Aufsatzsammlung 2 Handbook 1 Handbuch 1
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Undetermined 6,277 English 12
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Balakrishnan, N. 40 Molenberghs, Geert 22 Tang, Man-Lai 22 Kundu, Debasis 21 Paula, Gilberto A. 16 Trenkler, Gotz 16 Lee, Sik-Yum 15 Cordeiro, Gauss M. 14 Hawkins, Douglas M. 14 Tijs, Stef 14 Tian, Guo-Liang 13 Cribari-Neto, Francisco 12 Nadarajah, Saralees 12 Tutz, Gerhard 12 Borm, Peter 11 Chen, Hubert J. 11 Hubert, Mia 11 Lee, Jae Won 11 Lemonte, Artur J. 11 Ortega, Edwin M.M. 11 Poon, Wai-Yin 11 Priebe, Carey E. 11 Rousseeuw, Peter J. 11 Bentler, Peter M. 10 Dodge, Yadolah 10 Hernández-Lerma, Onésimo 10 Agresti, Alan 9 Brown, Morton B. 9 Cavazos-Cadena, Rolando 9 Croux, Christophe 9 Gerlach, Richard 9 Lesaffre, Emmanuel 9 Liang, Hua 9 Lui, Kung-Jong 9 Shin, Dong Wan 9 Wang, Yong 9 D'Urso, Pierpaolo 8 Ferrari, Silvia L.P. 8 Fraiman, Ricardo 8 Gupta, Ramesh C. 8
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Computational Statistics & Data Analysis 4,738 Computational Statistics 1,534 Springer handbooks of computational statistics 3 Computational Statistics and Data Analysis 2 Computational Statistics and Data Analysis 143 (2020) 106843 1 Computational Statistics and Data Analysis 56 (2012) 1–14 1 Computational Statistics and Data Analysis, Forthcoming 1 Karabatsos, G. (2022). Approximate Bayesian computation using asymptotically normal point estimates. Computational Statistics, 1-38 1 Springer Handbooks of Computational Statistics 1 https://doi.org/10.1016/j.csda.2019.106843 Previous title "HOW MANY PARAMETERS DOES MY KERNEL DENSITY ESTIMATE HAVE?" 1
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RePEc 6,272 ECONIS (ZBW) 11 USB Cologne (EcoSocSci) 6
Showing 1,661 - 1,670 of 6,289
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On a processor sharing queue that models balking
Zhen, Qiang; Leeuwaarden, Johan; Knessl, Charles - In: Computational Statistics 72 (2010) 3, pp. 453-476
We consider the processor sharing M/M/1-PS queue which also models balking. A customer that arrives and sees n others in the system “balks” (i.e., decides not to enter) with probability 1−b n . If b n is inversely proportional to n + 1, we obtain explicit expressions for a tagged...
Persistent link: https://www.econbiz.de/10010759182
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On probabilistic constraints induced by rectangular sets and multivariate normal distributions
Ackooij, Wim Van; Henrion, René; Möller, Andris; … - In: Computational Statistics 71 (2010) 3, pp. 535-549
In this paper, we consider optimization problems under probabilistic constraints which are defined by two-sided inequalities for the underlying normally distributed random vector. As a main step for an algorithmic solution of such problems, we prove a derivative formula for (normal)...
Persistent link: https://www.econbiz.de/10010759197
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Optimality equations and inequalities in a class of risk-sensitive average cost Markov decision chains
Cavazos-Cadena, Rolando - In: Computational Statistics 71 (2010) 1, pp. 47-84
This note concerns controlled Markov chains on a denumerable sate space. The performance of a control policy is measured by the risk-sensitive average criterion, and it is assumed that (a) the simultaneous Doeblin condition holds, and (b) the system is communicating under the action of each...
Persistent link: https://www.econbiz.de/10010759218
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A Perturbation approach for an inverse quadratic programming problem
Zhang, Jianzhong; Zhang, Liwei; Xiao, Xiantao - In: Computational Statistics 72 (2010) 3, pp. 379-404
We consider an inverse quadratic programming (QP) problem in which the parameters in both the objective function and the constraint set of a given QP problem need to be adjusted as little as possible so that a known feasible solution becomes the optimal one. We formulate this problem as a linear...
Persistent link: https://www.econbiz.de/10010759221
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The cutting power of preparation
Tercieux, Olivier; Voorneveld, Mark - In: Computational Statistics 71 (2010) 1, pp. 85-101
In a strategic game, a curb set (Basu and Weibull, Econ Lett 36:141–146, 1991) is a product set of pure strategies containing all best responses to every possible belief restricted to this set. Prep sets (Voorneveld, Games Econ Behav 48:403–414, 2004) relax this condition by only requiring...
Persistent link: https://www.econbiz.de/10010759238
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Continuous review inventory models for perishable items ordered in batches
Baron, Opher; Berman, Oded; Perry, David - In: Computational Statistics 72 (2010) 2, pp. 217-247
This paper is an in-depth treatment of an inventory control problem with perishable items. We focus on two prototypes of perishability for items that have a common shelflife and that arrive in batches with zero lead time: (i) sudden deaths due to disasters (e.g., spoilage because of extreme...
Persistent link: https://www.econbiz.de/10010759245
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Optimal partial hedging in a discrete-time market as a knapsack problem
Lindberg, Peter - In: Computational Statistics 72 (2010) 3, pp. 433-451
We present a new approach for studying the problem of optimal hedging of a European option in a finite and complete discrete-time market model. We consider partial hedging strategies that maximize the success probability or minimize the expected shortfall under a cost constraint and show that...
Persistent link: https://www.econbiz.de/10010759248
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Games with externalities: games in coalition configuration function form
Albizuri, M. - In: Computational Statistics 72 (2010) 1, pp. 171-186
In this paper we introduce a model of cooperative game with externalities which generalizes games in partition function form by allowing players to take part in more than one coalition. We provide an extension of the Shapley value (1953) to these games, which is a generalization of the Myerson...
Persistent link: https://www.econbiz.de/10010759264
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Two-phase pricing and inventory management for deteriorating and fashion goods under trade credit
Tsao, Yu-Chung - In: Computational Statistics 72 (2010) 1, pp. 107-127
This study models a finite horizon inventory problem for deteriorating and fashion goods under trade credit and partial backlogging conditions. Demand may vary with price or time. The supplier can extend credit to the retailer. As a result, the retailer does not have to pay for goods immediately...
Persistent link: https://www.econbiz.de/10010759287
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Multilinear extensions and values for multichoice games
Jones, Michael; Wilson, Jennifer - In: Computational Statistics 72 (2010) 1, pp. 145-169
We define multilinear extensions for multichoice games and relate them to probabilistic values and semivalues. We apply multilinear extensions to show that the Banzhaf value for a compound multichoice game is not the product of the Banzhaf values of the component games, in contrast to the...
Persistent link: https://www.econbiz.de/10010759290
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