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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 1,231 - 1,240 of 6,289
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Nash equilibrium based fairness
Kameda, Hisao; Altman, Eitan; Touati, Corinne; Legrand, … - In: Computational Statistics 76 (2012) 1, pp. 43-65
There are several approaches of sharing resources among users. There is a noncooperative approach wherein each user strives to maximize its own utility. The most common optimality notion is then the Nash equilibrium. Nash equilibria are generally Pareto inefficient. On the other hand, we...
Persistent link: https://www.econbiz.de/10010759404
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Quantitative stability of mixed-integer two-stage quadratic stochastic programs
Chen, Zhiping; Han, Youpan - In: Computational Statistics 75 (2012) 2, pp. 149-163
For our introduced mixed-integer quadratic stochastic program with fixed recourse matrices, random recourse costs, technology matrix and right-hand sides, we study quantitative stability properties of its optimal value function and optimal solution set when the underlying probability...
Persistent link: https://www.econbiz.de/10010759409
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Between a rock and a hard place: the two-to-one assignment problem
Goossens, Dries; Polyakovskiy, Sergey; Spieksma, Frits; … - In: Computational Statistics 76 (2012) 2, pp. 223-237
We describe the two-to-one assignment problem, a problem in between the axial three-index assignment problem and the three-dimensional matching problem, having applications in various domains. For the (relevant) case of decomposable costs satisfying the triangle inequality we provide, on the...
Persistent link: https://www.econbiz.de/10010759439
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Accessibility measures to nodes of directed graphs using solutions for generalized cooperative games
Amer, Rafael; Giménez, José; Magaña, Antonio - In: Computational Statistics 75 (2012) 1, pp. 105-134
The aim of this paper consists of constructing accessibility measures to the nodes of directed graphs using methods of Game Theory. Since digraphs without a predefined game are considered, the main part of the paper is devoted to establish conditions on cooperative games so that they can be used...
Persistent link: https://www.econbiz.de/10010759492
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A bankruptcy approach to the core cover
Estévez-Fernández, A.; Fiestras-Janeiro, M.; Mosquera, M. - In: Computational Statistics 76 (2012) 3, pp. 343-359
In this paper we establish a relationship between the core cover of a compromise admissible game and the core of a particular bankruptcy game: the core cover of a compromise admissible game is, indeed, a translation of the set of coalitionally stable allocations captured by an associated...
Persistent link: https://www.econbiz.de/10010759498
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Portfolio selection of a closed-end mutual fund
Li, Yan; Yu, Baimin - In: Computational Statistics 75 (2012) 3, pp. 245-272
A well-known regulation on the management of a closed-end mutual fund is that the managers’ account cannot invest in risky assets. This paper studies the impact of this regulation under a given management fee structure such that the cumulative management fee rate is described by a fixed RCLL...
Persistent link: https://www.econbiz.de/10010759508
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Optimal partial hedging of an American option: shifting the focus to the expiration date
Lindberg, Peter - In: Computational Statistics 75 (2012) 3, pp. 221-243
As a main contribution we present a new approach for studying the problem of optimal partial hedging of an American contingent claim in a finite and complete discrete-time market. We assume that at an early exercise time the investor can borrow the amount she has to pay for the option holder by...
Persistent link: https://www.econbiz.de/10010759512
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A very short algebraic proof of the Farkas Lemma
Bartl, David - In: Computational Statistics 75 (2012) 1, pp. 101-104
We present a very short algebraic proof of a generalisation of the Farkas Lemma: we set it in a vector space of finite or infinite dimension over a linearly ordered (possibly skew) field; the non-positivity of a finite homogeneous system of linear inequalities implies the non-positivity of a...
Persistent link: https://www.econbiz.de/10010759528
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Handbook of computational finance
Duan, Jin-Chuan (ed.); Härdle, Wolfgang (ed.);  … - 2012
Persistent link: https://www.econbiz.de/10009380841
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Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment
Milas, Costas; Naraidoo, Ruthira - In: Computational Statistics & Data Analysis 56 (2012) 1, pp. 173-189
Our purpose is to investigate how the European Central Bank (ECB) sets interest rates in the context of both linear and nonlinear policy reaction functions. This work contributes to the current debate on central banks having additional objectives over and above control of inflation and output....
Persistent link: https://www.econbiz.de/10009274842
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