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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 1,331 - 1,340 of 6,289
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Mixed integer linear models for the optimization of dynamical transport networks
Geißler, Björn; Kolb, Oliver; Lang, Jens; Leugering, … - In: Computational Statistics 73 (2011) 3, pp. 339-362
We introduce a mixed integer linear modeling approach for the optimization of dynamic transport networks based on the piecewise linearization of nonlinear constraints and we show how to apply this method by two examples, transient gas and water supply network optimization. We state the mixed...
Persistent link: https://www.econbiz.de/10010759285
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Sojourn time asymptotics in a parking lot network
Egorova, Regina; Zwart, Bert - In: Computational Statistics 74 (2011) 2, pp. 163-190
For a two-class two-node bandwidth sharing network called parking lot network we investigate the tail behavior of the queue length and sojourn time under light-tailed assumptions. These results extend previous results in the literature obtained for a single-node network. Explicit conditions are...
Persistent link: https://www.econbiz.de/10010759340
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Trajectory planning for unmanned aerial vehicles: a network optimization approach
Babel, Luitpold - In: Computational Statistics 74 (2011) 3, pp. 343-360
This paper presents a new approach for trajectory planning of air vehicles. It considers scenarios with risk areas and forbidden zones and takes into account the maneuverability of the air vehicle. It is flexible as to allow different kinds of objective functions such as minimizing risk, flight...
Persistent link: https://www.econbiz.de/10010759352
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The pseudo-average rule: bankruptcy, cost allocation and bargaining
Ortells, Txus; Santos, Juan - In: Computational Statistics 73 (2011) 1, pp. 55-73
A division rule for claims problems, also known as bankruptcy or rationing problems, based on the pseudo-average solution is studied (for 2-person problems). This solution was introduced in Moulin (Jpn Econ Rev 46:303–332, 1995 ) for discrete cost allocation problems. Using the asymptotic...
Persistent link: https://www.econbiz.de/10010759361
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Markov Decision Processes with Average-Value-at-Risk criteria
Bäuerle, Nicole; Ott, Jonathan - In: Computational Statistics 74 (2011) 3, pp. 361-379
We investigate the problem of minimizing the Average-Value-at-Risk (AVaR τ ) of the discounted cost over a finite and an infinite horizon which is generated by a Markov Decision Process (MDP). We show that this problem can be reduced to an ordinary MDP with extended state space and give...
Persistent link: https://www.econbiz.de/10010759379
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The restricted core of games on distributive lattices: how to share benefits in a hierarchy
Grabisch, Michel; Xie, Lijue - In: Computational Statistics 73 (2011) 2, pp. 189-208
Finding a solution concept is one of the central problems in cooperative game theory, and the notion of core is the most popular solution concept since it is based on some rationality condition. In many real situations, not all possible coalitions can form, so that classical TU-games cannot be...
Persistent link: https://www.econbiz.de/10010759385
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A continuous framework for open pit mine planning
Alvarez, Felipe; Amaya, Jorge; Griewank, Andreas; … - In: Computational Statistics 73 (2011) 1, pp. 29-54
This paper proposes a new mathematical framework for the open pit mine planning problem, based on continuous functional analysis. The main challenge for engineers is to determine a sequence of nested profiles maximizing the net present value of the mining operation. The traditional models for...
Persistent link: https://www.econbiz.de/10010759402
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Inverse p-median problems with variable edge lengths
Bonab, Fahimeh Baroughi; Burkard, Rainer; Gassner, Elisabeth - In: Computational Statistics 73 (2011) 2, pp. 263-280
The inverse p-median problem with variable edge lengths on graphs is to modify the edge lengths at minimum total cost with respect to given modification bounds such that a prespecified set of p vertices becomes a p-median with respect to the new edge lengths. The problem is shown to be strongly...
Persistent link: https://www.econbiz.de/10010759424
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New characterizations of the constrained equal awards rule in multi-issue allocation situations
Bergantiños, Gustavo; Lorenzo, Leticia; … - In: Computational Statistics 74 (2011) 3, pp. 311-325
Multi-issue allocation situations are used to study the problem of having to divide an estate among a group of agents. The claim of each agent is a vector specifying the amount claimed by each agent on each issue. We present several axiomatic characterizations of the constrained equal awards...
Persistent link: https://www.econbiz.de/10010759455
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Existence of shadow prices in finite probability spaces
Kallsen, Jan; Muhle-Karbe, Johannes - In: Computational Statistics 73 (2011) 2, pp. 251-262
A shadow price is a process $${\widetilde{S}}$$ lying within the bid/ask prices $${\underline{S},\overline{S}}$$ of a market with proportional transaction costs, such that maximizing expected utility from consumption in the frictionless market with price process $${\widetilde{S}}$$ leads to the...
Persistent link: https://www.econbiz.de/10010759482
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