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Extending AIC to best subset regression by J. G. Liao, Joseph E. Cavanaugh & Timothy L. McMurry
Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics.
Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability by Jason P. Estes, Bhramar Mukherjee & Jeremy M. G. Taylor
SIBS aims at the development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science.
A Case Study Competition Among Methods for Analyzing Large Spatial Data by Matthew J. Heaton, Abhirup Datta, Andrew O. Finley, Reinhard Furrer, Joseph Guinness, Rajarshi Guhaniyogi, Florian Gerber, Robert B. Gramacy, Dorit Hammerling, Matthias Katzfuss, Finn Lindgren, Douglas W. Nychka, Furong Sun & Andrew Zammit-Mangion
Publishing articles that introduce new statistical methods to solve practical problems in the agricultural, biological, and environmental sciences. The journal strongly encourages interdisciplinary articles that illustrate the application of new and important statistical methods using real data.
Fast covariance estimation for sparse functional data by Luo Xiao, Cai Li, William Checkley & Ciprian Crainiceanu
Statistics and Computing publishes papers covering the interface between the statistical and computing sciences. It addresses the use of statistical concepts in computing science, for example, in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis.
Conditional screening for ultra-high dimensional covariates with survival outcomes by Hyokyoung G. Hong, Jian Kang & Yi Li
LIDA is the only journal dedicated to statistical methods and applications for lifetime data. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations research, public health, and social and behavioral sciences.
Comparing implementations of global and local indicators of spatial association by Roger S. Bivand & David W. S. Wong
An international journal of statistics and probability, TEST focuses on papers that offer original theoretical contributions and that have demonstrated or potential value for applications in statistics and probability.
Two-Stage Metropolis-Hastings for Tall Data by Richard D. Payne & Bani K. Mallick
The Journal of Classification presents original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models, as well as associated models and algorithms for fitting them. Articles support advances in methodology, while demonstrating compelling substantive applications.