Over the last decades, it has been shown that teaching and learning statistics is complex, regardless of the teaching methodology.
Methodology
We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites.
Applications
We discuss how our reproducible WAR framework, built entirely on publicly available data, can be easily extended to estimate WAR for players at any position, provided that researchers have access to data specifying which players are on the field during each play.
Applications 62P99
Verifying the correctness of Bayesian computation is challenging.
Methodology
Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods.
Applications Methodology
LMTPs can be designed to guarantee positivity, and yield effects of immediate practical relevance with an interpretation that is familiar to regular users of linear regression adjustment.
Methodology
This paper introduces the R package INLAjoint, designed as a toolbox for fitting a diverse range of regression models addressing both longitudinal and survival outcomes.
Methodology Computation
With a focus on the quantification of the full parameter uncertainty, we review, adapt and investigate selected Bayesian filters for parameter estimation: an on-line particle filter, an on-line iterated batch importance sampling filter, which performs Markov chain Monte Carlo (MCMC) move steps, and an off-line MCMC-based sequential Monte Carlo filter.
Computation
The efficacy of the proposed methodology is demonstrated through a data analysis example and a series of simulation studies.
Methodology Computation
As data from monitored structures become increasingly available, the demand grows for it to be used efficiently to add value to structural operation and management.
Applications