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WIREs Comp Stat
Wiley Interdisciplinary Reviews:
WIREs Computational Statistics
Volume 12 Issue 6 (November 2020)
Page 0 - 0


Animal movement models for multiple individuals
Published Online: Mar 09 2020
DOI: 10.1002/wics.1506
Simulated trajectories from a process convolution model for movement conditioned on a latent social network. The inset in the bottom right shows the dynamic pairwise relationships among the three individuals. A time interval during which individuals 1 and 3 are strongly connected is highlighted with a gray box. On the trajectories, black arrows oriented in the direction of movement, with arrowhead length proportional to the connection strength, highlight the impact of this particular connection on movement. At the onset of the strong connection period, the indicated paths orient toward each other as individuals demonstrate attractive behavior. As the connection strength weakens, the individuals resume independent movement.
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Advanced Reviews

Review of current advances in survival analysis and frailty models
Published Online: Mar 17 2020
DOI: 10.1002/wics.1504
Kaplan–Meier has been a very important tool used in survival analysis. However, after Cox proportional hazards regression was introduced, it has also become an important tool for modeling survival outcomes. In addition, frailty models allowed incorporating explained heterogeneity into the Cox model or parametric survival model. All these techniques along with newer adaptations have been adapting the field of survival analysis. This review discusses these techniques.
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An adapted vector autoregressive expectation maximization imputation algorithm for climate data networks
Published Online: Dec 25 2019
DOI: 10.1002/wics.1494
The RMSE of an iterative adapted vector autoregressive expectation–maximization algorithm as a function of Iteration (left) and autoregressive order (right) for three types of missing data MCAR (top), MAR (middle) and MNAR (bottom).
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Multiple testing approaches for hypotheses in integrative genomics
Published Online: Dec 15 2019
DOI: 10.1002/wics.1493
Graphic illustrating the questions leading to the choice of different type of multiple testing methods in integrative genomics.
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Focus Article

Nonparametric covariance estimation with shrinkage toward stationary models
Published Online: Mar 20 2020
DOI: 10.1002/wics.1507
Covariance for longitudinal data can be modeled through generalized auto‐regressive coefficients and innovation variances. Using the functional ANOVA model framework, we propose to model the varying coefficient function for dependence among ordered measurements with main effects of the time lag and the orthogonal additive direction, and their interaction.
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