A genetic algorithm for designing microarray experimentsComputational Statistics - Tập 31 - Trang 409-424 - 2015
A. H. M. Mahbub Latif, Edgar Brunner
Heuristic techniques of optimization can be useful in designing complex experiments, such as microarray experiments. They have advantages over the traditional methods of optimization, particularly in situations where the search space is discrete. In this paper, a search procedure based on a genetic algorithm is proposed to find optimal (efficient) designs for both one- and multi-factor experiments...... hiện toàn bộ
Unsupervised learning on U.S. weather forecast performanceComputational Statistics - Tập 38 - Trang 1193-1213 - 2023
Chuyuan Lin, Ying Yu, Lucas Y. Wu, Jiguo Cao
Nowadays, climate events and weather predictions have a huge impact on human activities. To understand the accuracy of weather prediction, we applied the functional principal component analysis (FPCA) method to investigate the main pattern of variance within the U.S. weather prediction error over a period of 3 years. We further grouped the states in the U.S. based on their similarity in weather fo...... hiện toàn bộ
The 8-parameter Fisher–Bingham distribution on the sphereComputational Statistics - Tập 36 - Trang 409-420 - 2020
Tianlu Yuan
The Fisher–Bingham distribution (
$$\mathrm {FB}_8$$
) is an eight-parameter family of probability density functions (PDF) on the unit sphere that, under certain conditions, reduce to spherical analogues of bivariate normal PDFs. Due to difficulties in its interpretation and estimation, applications...... hiện toàn bộ
Bayesian inference on longitudinal-survival data with multiple featuresComputational Statistics - Tập 32 - Trang 845-866 - 2016
Tao Lu
The modeling of longitudinal and survival data is an active research area. Most of researches focus on improving the estimating efficiency but ignore many data features frequently encountered in practice. In this article, we develop a joint model that concurrently accounting for longitudinal-survival data with multiple features. Specifically, our joint model handles skewness, limit of detection, m...... hiện toàn bộ
Row–column interaction models, with an R implementationComputational Statistics - Tập 29 - Trang 1427-1445 - 2014
Thomas W. Yee, Alfian F. Hadi
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 this work apart from others is that our framework incorporates a very wide range of statistical models, e...... hiện toàn bộ
Computations for the familial analysis of binary traitsComputational Statistics - Tập 20 - Trang 439-448 - 2005
Harry Joe, A. H. M. Mahbub-ul Latif
For familial aggregation of a binary trait, one method that has been used is the GEE2 (generalized estimating equation) method corresponding to a multivariate logit model. We solve the complex estimating equations for the GEE2 method using an automatic differentiation software which computes the derivatives of a function numerically using the chain rule of the calculus repeatedly on the elementary...... hiện toàn bộ