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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 501 - 510 of 6,289
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Model detection for functional polynomial regression
Zhang, Tao; Zhang, Qingzhao; Wang, Qihua - In: Computational Statistics & Data Analysis 70 (2014) C, pp. 183-197
A functional polynomial regression model which includes the functional linear model and functional quadratic model as two special cases is considered. In functional polynomial regression, one must balance the costs and benefits of using more parameters in the model. The method of model detection...
Persistent link: https://www.econbiz.de/10010719699
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Effect of Oil Spill on Birds: A Graphical Assay of the Deepwater Horizon Oil Spill’s Impact on Birds
Tran, Tony; Yazdanparast, Aida; Suess, Eric - In: Computational Statistics 29 (2014) 1, pp. 133-140
The Deepwater Horizon oil spill was an ecologically devastating event in the Gulf of Mexico, which saw the estimated release of over 4 million barrels of oil after flowing for three months in 2010. The US Fish and Wildlife Service provided a data set of 7,229 bird records. We aimed to illustrate...
Persistent link: https://www.econbiz.de/10010759154
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Fitting concentric circles to measurements
Drezner, Zvi; Brimberg, Jack - In: Computational Statistics 79 (2014) 1, pp. 119-133
Measurements for fitting a given number of concentric circles are recorded. For each concentric circle several measurements are taken. The problem is to fit the given number of circles to the data such that all circles have a common center. This is a generalization of the problem of fitting a...
Persistent link: https://www.econbiz.de/10010759198
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Swing options in commodity markets: a multidimensional Lévy diffusion model
Eriksson, Marcus; Lempa, Jukka; Nilssen, Trygve - In: Computational Statistics 79 (2014) 1, pp. 31-67
We study valuation of swing options on commodity markets when the commodity prices are driven by multiple factors. The factors are modeled as diffusion processes driven by a multidimensional Lévy process. We set up a valuation model in terms of a dynamic programming problem where the option can...
Persistent link: https://www.econbiz.de/10010759320
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The 2011 data Expo of the American Statistical Association
Cook, Dianne - In: Computational Statistics 29 (2014) 1, pp. 117-119
Persistent link: https://www.econbiz.de/10010759571
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Sparse matrices in data analysis
Trendafilov, Nickolay; Kleinsteuber, Martin; Zou, Hui - In: Computational Statistics 29 (2014) 3, pp. 403-405
Persistent link: https://www.econbiz.de/10010847505
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Proceedings of Reisensburg 2011
Binder, Harald; Kestler, Hans; Schmid, Matthias - In: Computational Statistics 29 (2014) 1, pp. 1-2
Persistent link: https://www.econbiz.de/10010847593
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A generalized Newton algorithm for quantile regression models
Zheng, Songfeng - In: Computational Statistics 29 (2014) 6, pp. 1403-1426
This paper formulates the quadratic penalty function for the dual problem of the linear programming associated with the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$L_1$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <msub> <mi>L</mi> <mn>1</mn> </msub> </math> </EquationSource> </InlineEquation> constrained linear quantile regression model. We prove that the solution of the original linear programming can be obtained by minimizing the quadratic...</equationsource></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10011151866
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Row–column interaction models, with an R implementation
Yee, Thomas; Hadi, Alfian - In: Computational Statistics 29 (2014) 6, pp. 1427-1445
We propose a family of models called row–column interaction models (RCIMs) for two-way table responses. RCIMs apply some link function to a parameter (such as the cell mean) to equal a row effect plus a column effect plus an optional interaction modelled as a reduced-rank regression. What sets...
Persistent link: https://www.econbiz.de/10011151872
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Improved tests for the equality of normal coefficients of variation
Krishnamoorthy, K.; Lee, Meesook - In: Computational Statistics 29 (2014) 1, pp. 215-232
The problem of testing the equality of coefficients of variation of independent normal populations is considered. For comparing two coefficients, we consider the signed-likelihood ratio test (SLRT) and propose a modified version of the SLRT, and a generalized test. Monte Carlo studies on the...
Persistent link: https://www.econbiz.de/10010998465
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