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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 1,621 - 1,630 of 6,289
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Comparison and robustification of Bayes and Black-Litterman models
Schöttle, Katrin; Werner, Ralf; Zagst, Rudi - In: Computational Statistics 71 (2010) 3, pp. 453-475
For determining an optimal portfolio allocation, parameters representing the underlying market—characterized by expected asset returns and the covariance matrix—are needed. Traditionally, these point estimates for the parameters are obtained from historical data samples, but as experts often...
Persistent link: https://www.econbiz.de/10010847632
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Compactness of the space of non-randomized policies in countable-state sequential decision processes
Chen, Richard; Feinberg, Eugene - In: Computational Statistics 71 (2010) 2, pp. 307-323
For sequential decision processes with countable state spaces, we prove compactness of the set of strategic measures corresponding to nonrandomized policies. For the Borel state case, this set may not be compact (Piunovskiy, Optimal control of random sequences in problems with constraints....
Persistent link: https://www.econbiz.de/10010847644
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Optimal dividend strategies in a dual model with capital injections
Dai, Hongshuai; Liu, Zaiming; Luan, Nana - In: Computational Statistics 72 (2010) 1, pp. 129-143
We study three types of practical optimization problems faced by a firm that can control its liquid reserves by paying dividends and by issuing new equity. In the first problem, we consider the classical dividend problem without equity issuance. The second problem aims at maximizing the expected...
Persistent link: https://www.econbiz.de/10010847669
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A simpler characterization of a spectral lower bound on the clique number
Yıldırım, E. - In: Computational Statistics 71 (2010) 2, pp. 267-281
Given a simple, undirected graph G, Budinich (Discret Appl Math 127:535–543, 2003) proposed a lower bound on the clique number of G by combining the quadratic programming formulation of the clique number due to Motzkin and Straus (Can J Math 17:533–540, 1965) with the spectral decomposition...
Persistent link: https://www.econbiz.de/10010847781
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A dual approach to multiple exercise option problems under constraints
Aleksandrov, N.; Hambly, B. - In: Computational Statistics 71 (2010) 3, pp. 503-533
This paper considers the pricing of multiple exercise options in discrete time. This type of option can be exercised up to a finite number of times over the lifetime of the contract. We allow multiple exercise of the option at each time point up to a constraint, a feature relevant for pricing...
Persistent link: https://www.econbiz.de/10010847807
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Extensions to the continuous ordered median problem
Krebs, Jochen; Nickel, Stefan - In: Computational Statistics 71 (2010) 2, pp. 283-306
Classical location models fix an objective function and then attempt to find optimal points to this objective. In the last years a flexible approach, the ordered median problem, has been introduced. It handles a wide class of objectives, such as the median, the center and the centdian function....
Persistent link: https://www.econbiz.de/10010847817
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Optimal investment for a pension fund under inflation risk
Zhang, Aihua; Ewald, Christian-Oliver - In: Computational Statistics 71 (2010) 2, pp. 353-369
This paper investigates an optimal investment problem faced by a defined contribution (DC) pension fund manager under inflationary risk. It is assumed that a representative member of a DC pension plan contributes a fixed share of his salary to the pension fund during the finite time horizon [0,...
Persistent link: https://www.econbiz.de/10010847885
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Markov control processes with pathwise constraints
Mendoza-Pérez, Armando; Hernández-Lerma, Onésimo - In: Computational Statistics 71 (2010) 3, pp. 477-502
This paper deals with discrete-time Markov control processes in Borel spaces, with unbounded rewards. The criterion to be optimized is a long-run sample-path (or pathwise) average reward subject to constraints on a long-run pathwise average cost. To study this pathwise problem, we give...
Persistent link: https://www.econbiz.de/10010847903
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Own-company stockholding and work effort preferences of an unconstrained executive
Desmettre, Sascha; Gould, John; Szimayer, Alexander - In: Computational Statistics 72 (2010) 3, pp. 347-378
We develop a framework for analyzing an executive’s own-company stockholding and work effort preferences. The executive, characterized by risk aversion and work effectiveness parameters, invests his personal wealth without constraint in the financial market, including the stock of his own...
Persistent link: https://www.econbiz.de/10010847920
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State space collapse and stability of queueing networks
Delgado, Rosario - In: Computational Statistics 72 (2010) 3, pp. 477-499
We study the stability of subcritical multi-class queueing networks with feedback allowed and a work-conserving head-of-the-line service discipline. Assuming that the fluid limit model associated to the queueing network satisfies a state space collapse condition, we show that the queueing...
Persistent link: https://www.econbiz.de/10010847953
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