Statistics and Computing

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Anisotropy of Hölder Gaussian random fields: characterization, estimation, and application to image textures
Statistics and Computing - Tập 28 - Trang 1155-1168 - 2017
Frédéric J. P. Richard
The characterization and estimation of the Hölder regularity of random fields has long been an important topic of Probability theory and Statistics. This notion of regularity has also been widely used in image analysis to measure the roughness of textures. However, such a measure is rarely sufficient to characterize textures as it does not account for their directional properties (e.g., isotropy a... hiện toàn bộ
Toeplitz Monte Carlo
Statistics and Computing - Tập 31 - Trang 1-15 - 2021
Josef Dick, Takashi Goda, Hiroya Murata
Motivated mainly by applications to partial differential equations with random coefficients, we introduce a new class of Monte Carlo estimators, called Toeplitz Monte Carlo (TMC) estimator, for approximating the integral of a multivariate function with respect to the direct product of an identical univariate probability measure. The TMC estimator generates a sequence $$x_1,x_2,\ldots $$ of i.i.d. ... hiện toàn bộ
Testing for interactions in generalized additive models: Application to SO2 pollution data
Statistics and Computing - - 2005
Javier Roca‐Pardiñas, Carmen Cadarso‐Suárez, Wenceslao González–Manteiga
On conditional variance estimation in nonparametric regression
Statistics and Computing - Tập 23 - Trang 261-270 - 2012
Siddhartha Chib, Edward Greenberg
In this paper we consider a nonparametric regression model in which the conditional variance function is assumed to vary smoothly with the predictor. We offer an easily implemented and fully Bayesian approach that involves the Markov chain Monte Carlo sampling of standard distributions. This method is based on a technique utilized by Kim, Shephard, and Chib (in Rev. Econ. Stud. 65:361–393, 1998) f... hiện toàn bộ
Optimal designs for dose-escalation trials and individual allocations in cohorts
Statistics and Computing - Tập 32 - Trang 1-16 - 2022
Belmiro P. M. Duarte, Anthony C. Atkinson, Nuno M. C. Oliveira
Dose escalation trials are crucial in the development of new pharmaceutical products to optimize the amount of drug administered while avoiding undesirable side effects. We adopt the framework established by Bailey (Stat Med 28(30):3721–3738, 2009. https://doi.org/10.1002/sim.3646 ) where the individuals are grouped into cohorts, to the subjects in which the placebo or previously defined doses are... hiện toàn bộ
A new method for the estimation of variance matrix with prescribed zeros in nonlinear mixed effects models
Statistics and Computing - Tập 19 - Trang 129-138 - 2008
Djalil Chafaï, Didier Concordet
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The method consists of coupling the recently developed Iterative Conditional Fitting (ICF) algorithm with the Expectation Maximization (EM) algorithm. It provides positive definite estimates for any sample ... hiện toàn bộ
New mixed portmanteau tests for time series models
Statistics and Computing - Tập 34 - Trang 1-15 - 2024
Esam Mahdi
This article proposes omnibus portmanteau tests for contrasting adequacy of time series models. The test statistics are based on combining the autocorrelation function of the conditional residuals, the autocorrelation function of the conditional squared residuals, and the cross-correlation function between these residuals and their squares. The maximum likelihood estimator is used to derive the as... hiện toàn bộ
Distributed adaptive nearest neighbor classifier: algorithm and theory
Statistics and Computing - Tập 33 - Trang 1-23 - 2023
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
When data is of an extraordinarily large size or physically stored in different locations, the distributed nearest neighbor (NN) classifier is an attractive tool for classification. We propose a novel distributed adaptive NN classifier for which the number of nearest neighbors is a tuning parameter stochastically chosen by a data-driven criterion. An early stopping rule is proposed when searching ... hiện toàn bộ
Guest Editorial: Computational Issues in Experimental Design
Statistics and Computing - Tập 9 - Trang 169-169 - 1999
John Eccleston
Embedded topics in the stochastic block model
Statistics and Computing - Tập 33 - Trang 1-20 - 2023
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extract relevant information by looking at the nodes and their connections. Unfortunately, most of the existing methods focus on analysing the presence or absence of edges and textual data is often discarded. However, all co... hiện toàn bộ
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