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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 421 - 430 of 6,289
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Second-order least-squares estimation for regression models with autocorrelated errors
Rosadi, Dedi; Peiris, Shelton - In: Computational Statistics 29 (2014) 5, pp. 931-943
In their recent paper, Wang and Leblanc (Ann Inst Stat Math 60:883–900, <CitationRef CitationID="CR17">2008</CitationRef>) have shown that the second-order least squares estimator (SLSE) is more efficient than the ordinary least squares estimator (OLSE) when the errors are independent and identically distributed with non zero third...</citationref>
Persistent link: https://www.econbiz.de/10010998478
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Copula selection for graphical models in continuous Estimation of Distribution Algorithms
Salinas-Gutiérrez, Rogelio; Hernández-Aguirre, Arturo; … - In: Computational Statistics 29 (2014) 3, pp. 685-713
This paper presents the use of graphical models and copula functions in Estimation of Distribution Algorithms (EDAs) for solving multivariate optimization problems. It is shown in this work how the incorporation of copula functions and graphical models for modeling the dependencies among...
Persistent link: https://www.econbiz.de/10010998482
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Improved confidence intervals for the scale parameter of Burr XII model based on record values
Belaghi, R. Arabi; Arashi, M.; Tabatabaey, S. - In: Computational Statistics 29 (2014) 5, pp. 1153-1173
In this paper some different sorts of confidence intervals are considered for the scale parameter of the Burr type XII distribution based on the upper record values. In this regard, the coverage probability is adopted as a measure of improvement when the endpoints are the same for all types of...
Persistent link: https://www.econbiz.de/10010998489
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Bayesian approach for mixture models with grouped data
Gau, Shiow-Lan; Tapsoba, Jean Dieu; Lee, Shen-Ming - In: Computational Statistics 29 (2014) 5, pp. 1025-1043
Finite mixture modeling approach is widely used for the analysis of bimodal or multimodal data that are individually observed in many situations. However, in some applications, the analysis becomes substantially challenging as the available data are grouped into categories. In this work, we...
Persistent link: https://www.econbiz.de/10010998492
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A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square
Ng, Chi; Lim, Johan; Lee, Kyeong; Yu, Donghyeon; Choi, … - In: Computational Statistics 29 (2014) 5, pp. 1187-1205
We propose an algorithm to sample the area of the smallest convex hull containing <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$n$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mi>n</mi> </math> </EquationSource> </InlineEquation> sample points uniformly distributed over unit square. To do it, we introduce a new coordinate system for the position of vertexes and re-write joint distribution of the number of vertexes and their...</equationsource></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010998493
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Semiparametric regression analysis for clustered doubly-censored data
Shen, Pao-sheng - In: Computational Statistics 29 (2014) 3, pp. 813-828
This paper considers clustered doubly-censored data that occur when there exist several correlated survival times of interest and only doubly censored data are available for each survival time. In this situation, one approach is to model the marginal distribution of failure times using...
Persistent link: https://www.econbiz.de/10010998494
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On heterogeneous latent class models with applications to the analysis of rating scores
Bertrand, Aurélie; Hafner, Christian - In: Computational Statistics 29 (2014) 1, pp. 307-330
Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Information about such topics can be gathered through surveys in which the respondents must assign a score to a number of items. A strategy based on different latent class models can be used to analyze...
Persistent link: https://www.econbiz.de/10010998505
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Spectral graph features for the classification of graphs and graph sequences
Schmidt, Miriam; Palm, Günther; Schwenker, Friedhelm - In: Computational Statistics 29 (2014) 1, pp. 65-80
In this paper, the classification power of the eigenvalues of six graph-associated matrices is investigated. Each matrix contains a certain type of geometric/ spatial information, which may be important for the classification process. The performances of the different feature types is evaluated...
Persistent link: https://www.econbiz.de/10010998507
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Regularized principal components of heritability
Fang, Yixin; Feng, Yang; Yuan, Ming - In: Computational Statistics 29 (2014) 3, pp. 455-465
In family studies with multiple continuous phenotypes, heritability can be conveniently evaluated through the so-called principal-component of heredity (PCH, for short; Ott and Rabinowitz in Hum Hered 49:106–111, <CitationRef CitationID="CR12">1999</CitationRef>). Estimation of the PCH, however, is notoriously difficult when entertaining...</citationref>
Persistent link: https://www.econbiz.de/10010998518
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Goodness-of-fit tests for a semiparametric model under random double truncation
Moreira, Carla; Uña-Álvarez, Jacobo; Keilegom, Ingrid - In: Computational Statistics 29 (2014) 5, pp. 1365-1379
Doubly truncated data are commonly encountered in areas like medicine, astronomy, economics, among others. A semiparametric estimator of a doubly truncated random variable may be computed based on a parametric specification of the distribution function of the truncation times. This...
Persistent link: https://www.econbiz.de/10010998519
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