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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 1,321 - 1,330 of 6,289
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Multi-objective selection for collecting cluster alternatives
Kraus, Johann; Müssel, Christoph; Palm, Günther; … - In: Computational Statistics 26 (2011) 2, pp. 341-353
Persistent link: https://www.econbiz.de/10009149756
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A branch and price algorithm for the minimum power multicasting problem in wireless sensor networks
Montemanni, R.; Leggieri, V. - In: Computational Statistics 74 (2011) 3, pp. 327-342
The Minimum Power Multicast Problem arises in wireless sensor networks and consists in assigning a transmission power to each node of a network in such a way that the total power consumption over the network is minimized, while a source node is connected to a set of destination nodes, toward...
Persistent link: https://www.econbiz.de/10010759122
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Optimizing capacity, pricing and location decisions on a congested network with balking
Abouee-Mehrizi, Hossein; Babri, Sahar; Berman, Oded; … - In: Computational Statistics 74 (2011) 2, pp. 233-255
In this paper, we consider the problem of making simultaneous decisions on the location, service rate (capacity) and the price of providing service for facilities on a network. We assume that the demand for service from each node of the network follows a Poisson process. The demand is assumed to...
Persistent link: https://www.econbiz.de/10010759127
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Risk sensitive impulse control of non-Markovian processes
Hdhiri, Ibtissam; Karouf, Monia - In: Computational Statistics 74 (2011) 1, pp. 1-20
We consider the problem of an optimal stochastic impulse control of non-Markovian Processes when the expression of the cost functional integrates sensitiveness with respect to the risk. For this class, we try to establish the existence of an optimal strategy. We prove that our impulse control...
Persistent link: https://www.econbiz.de/10010759142
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Combinatorial integral approximation
Sager, Sebastian; Jung, Michael; Kirches, Christian - In: Computational Statistics 73 (2011) 3, pp. 363-380
We are interested in structures and efficient methods for mixed-integer nonlinear programs (MINLP) that arise from a first discretize, then optimize approach to time-dependent mixed-integer optimal control problems (MIOCPs). In this study we focus on combinatorial constraints, in particular on...
Persistent link: https://www.econbiz.de/10010759143
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Looking for appropriate qualification conditions for subdifferential formulae and dual representations for convex risk measures
Boţ, Radu; Frătean, Alina-Ramona - In: Computational Statistics 74 (2011) 2, pp. 191-215
A fruitful idea, when providing subdifferential formulae and dual representations for convex risk measures, is to make use of the conjugate duality theory in convex optimization. In this paper we underline the outstanding role played by the qualification conditions in the context of different...
Persistent link: https://www.econbiz.de/10010759180
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Queueing systems with pre-scheduled random arrivals
Guadagni, G.; Ndreca, S.; Scoppola, B. - In: Computational Statistics 73 (2011) 1, pp. 1-18
We consider a point process i + ξ i , where $${i\in \mathbb{Z}}$$ and the ξ i ’s are i.i.d. random variables with compact support and variance σ 2 . This process, with a suitable rescaling of the distribution of ξ i ’s, is well known to converge weakly, for large σ, to the Poisson...
Persistent link: https://www.econbiz.de/10010759189
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Almost sure Nash equilibrium strategies in evolutionary models of asset markets
Bahsoun, W.; Evstigneev, I.; Xu, L. - In: Computational Statistics 73 (2011) 2, pp. 235-250
We consider a stochastic model of a financial market with long-lived dividend-paying assets and endogenous asset prices. The model was initially developed and analyzed in the context of evolutionary finance, with the main focus on questions of “survival and extinction” of investment...
Persistent link: https://www.econbiz.de/10010759219
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Encoding the dynamics of deterministic systems
Torres, Luis; Wagler, Annegret - In: Computational Statistics 73 (2011) 3, pp. 281-300
We present a model for the dynamics of discrete deterministic systems, based on an extension of the Petri nets framework. Our model relies on the definition of a priority relation between conflicting transitions, which is encoded by orienting the edges of a transition conflict graph. We provide...
Persistent link: https://www.econbiz.de/10010759230
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Pricing and hedging of Asian options: quasi-explicit solutions via Malliavin calculus
Yang, Zhaojun; Ewald, Christian-Oliver; Menkens, Olaf - In: Computational Statistics 74 (2011) 1, pp. 93-120
We use Malliavin calculus and the Clark–Ocone formula to derive the hedging strategy of an arithmetic Asian Call option in general terms. Furthermore we derive an expression for the density of the integral over time of a geometric Brownian motion, which allows us to express hedging strategy...
Persistent link: https://www.econbiz.de/10010759233
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