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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 741 - 750 of 6,289
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Monte Carlo maximum likelihood circle fitting using circular density functions
Lund, Ulric - In: Computational Statistics 28 (2013) 2, pp. 393-411
Finding the “best-fitting” circle to describe a set of points in two dimensions is discussed in terms of maximum likelihood estimation. Several combinations of distributions are proposed to describe the stochastic nature of points in the plane, as the points are considered to have a common,...
Persistent link: https://www.econbiz.de/10010998449
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Bayesian estimation of the expected time of first arrival past a truncated time T: the case of NHPP with power law intensity
Aminzadeh, M. - In: Computational Statistics 28 (2013) 6, pp. 2465-2477
Non-homogenous Poisson process, <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\{N(t), t 0\}$$</EquationSource> </InlineEquation> under time-truncated sampling scheme is often used in practice. <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$E[S_{N(T)+1}$$</EquationSource> </InlineEquation>], the expected time of arrival of the first event after a truncated time <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$T$$</EquationSource> </InlineEquation>, is expressed as a function of intensity. A non-informative prior as well as...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>
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On simulating truncated stable random variables
Teimouri, Mahdi; Nadarajah, Saralees - In: Computational Statistics 28 (2013) 5, pp. 2367-2377
Soltani and Shirvani (Comput Stat 25:155–161, <CitationRef CitationID="CR10">2010</CitationRef>) proposed a scheme for simulating truncated stable random variables. That involves solving a nonlinear transformation in each realization. Here, we propose alternative schemes to generate truncated stable random variables. Our schemes are more...</citationref>
Persistent link: https://www.econbiz.de/10010998452
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Efficient simulation of complete and censored samples from common bivariate exponential distributions
He, Qinying; Nagaraja, H.; Wu, Chunjie - In: Computational Statistics 28 (2013) 6, pp. 2479-2494
Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$(X_{i:n},Y_{[i:n]})$$</EquationSource> </InlineEquation> be the vector of the <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$i$$</EquationSource> </InlineEquation>th <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$X$$</EquationSource> </InlineEquation>-order statistic and its concomitant observed in a random sample of size <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$n$$</EquationSource> </InlineEquation> where the marginal distribution of <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$X$$</EquationSource> </InlineEquation> is absolutely continuous. We describe some general algorithms for simulation of complete and Type II...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>
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Principal component histograms from interval-valued observations
Le-Rademacher, J.; Billard, L. - In: Computational Statistics 28 (2013) 5, pp. 2117-2138
The focus of this paper is to propose an approach to construct histogram values for the principal components of interval-valued observations. Le-Rademacher and Billard (J Comput Graph Stat 21:413–432, <CitationRef CitationID="CR24">2012</CitationRef>) show that for a principal component analysis on interval-valued observations, the...</citationref>
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Regression analysis of interval censored and doubly truncated data with linear transformation models
Shen, Pao-sheng - In: Computational Statistics 28 (2013) 2, pp. 581-596
Doubly truncated data appear in a number of applications, including astronomy and survival analysis. For double-truncated data, the lifetime T is observable only when U ≤ T ≤ V, where U and V are the left-truncated and right-truncated time, respectively. In some situation, the lifetime T...
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Compression-based distance between string data and its application to literary work classification based on authorship
Ishikawa, Masaki; Kawakami, Hajime - In: Computational Statistics 28 (2013) 2, pp. 851-873
There are many well-known document classification/clustering algorithms. In this paper, compression-based distances between documents are focused on, in particular, the normalized compression distance (NCD). The NCD is a popular and powerful metric between strings. A new distance <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$D_\alpha $$</EquationSource> </InlineEquation>...</equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010998456
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Obtaining the exact and near-exact distributions of the likelihood ratio statistic to test circular symmetry through the use of characteristic functions
Marques, Filipe; Coelho, Carlos - In: Computational Statistics 28 (2013) 5, pp. 2091-2115
In this paper the authors show how through the use of the characteristic function of the negative logarithm of the likelihood ratio test (l.r.t.) statistic to test circular symmetry it is possible to obtain highly manageable expressions for the exact distribution of such statistic, when the...
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On a general class of probability distributions and its applications
Mak, Tak; Nebebe, Fassil - In: Computational Statistics 28 (2013) 5, pp. 2211-2230
A general class of probability distributions is proposed and its properties examined. The proposed family contains distributions of a wide variety of shapes, such as U shaped, uniform and long-tailed distributions, as well as distributions with supports that have finite limits at one or both...
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Using wiki to build an e-learning system in statistics in the Arabic language
Ahmad, Taleb; Härdle, Wolfgang; Klinke, Sigbert; … - In: Computational Statistics 28 (2013) 2, pp. 481-491
E-learning plays an important role in education as it supports online teaching via computer networks and provides educational services by utilising information technologies. This paper presents a case study describing the development of an Arabic language e-learning course in statistics. Under...
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