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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 1,681 - 1,690 of 6,289
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Unboundedness in reverse convex and concave integer programming
Obuchowska, Wiesława - In: Computational Statistics 72 (2010) 2, pp. 187-204
In this paper we are concerned with the problem of unboundedness and existence of an optimal solution in reverse convex and concave integer optimization problems. In particular, we present necessary and sufficient conditions for existence of an upper bound for a convex objective function defined...
Persistent link: https://www.econbiz.de/10010759536
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A unified treatment of dividend payment problems under fixed cost and implementation delays
Bayraktar, Erhan; Egami, Masahiko - In: Computational Statistics 71 (2010) 2, pp. 325-351
In this paper we study the dividend optimization problem for a corporation or a financial institution when the management faces (regulatory) implementation delays. We consider several cash reservoir models for the firm including two mean-reverting processes, Ornstein–Uhlenbeck and square-root...
Persistent link: https://www.econbiz.de/10010759561
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Estimating the mixing proportion in a semiparametric mixture model
Song, Seongjoo; Nicolae, Dan L.; Song, Jongwoo - In: Computational Statistics & Data Analysis 54 (2010) 10, pp. 2276-2283
In this paper, we investigate methods of estimating the mixing proportion in the case when one of the probability densities is not specified analytically in a mixture model. The methodology we propose is motivated by a sequential clustering algorithm. After a sequential clustering algorithm...
Persistent link: https://www.econbiz.de/10008462395
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KmL: k-means for longitudinal data
Genolini, Christophe; Falissard, Bruno - In: Computational Statistics 25 (2010) 2, pp. 317-328
Persistent link: https://www.econbiz.de/10008515560
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Using one EWMA chart to jointly monitor the process mean and variance
Khoo, Michael; Wu, Zhang; Chen, Chung-Ho; Yeong, Kah - In: Computational Statistics 25 (2010) 2, pp. 299-316
Persistent link: https://www.econbiz.de/10008515561
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On inference based on the one-sample sign statistic for long-range dependent data
Psaradakis, Zacharias - In: Computational Statistics 25 (2010) 2, pp. 329-340
Persistent link: https://www.econbiz.de/10008515562
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Nonparametric estimation of the bivariate survival function for one modified form of doubly censored data
Shen, Pao-sheng - In: Computational Statistics 25 (2010) 2, pp. 203-213
Persistent link: https://www.econbiz.de/10008515563
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Supervised learning of multivariate skew normal mixture models with missing information
Lin, Tzy-Chy; Lin, Tsung-I - In: Computational Statistics 25 (2010) 2, pp. 183-201
Persistent link: https://www.econbiz.de/10008515564
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GEVA: geometric variability-based approaches for identifying patterns in data
Irigoien, Itziar; Arenas, Concepcion; Fernández, Elena; … - In: Computational Statistics 25 (2010) 2, pp. 241-255
Persistent link: https://www.econbiz.de/10008515565
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Penalized regression with individual deviance effects
Perperoglou, Aris; Eilers, Paul - In: Computational Statistics 25 (2010) 2, pp. 341-361
Persistent link: https://www.econbiz.de/10008515567
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