Bayes for Beginners 3: The Prior in Probabilistic Inference
In this, the final column in a series on Bayes for Beginners, C. Randy Gallistel explains the role of prior distributions in deciding between competing conclusions that might be drawn from experimental data. For more
Rotten Reviews Redux
Thomas H. Carr Michigan State University Two truly great rejections come immediately to mind. The first was the reaction of the editor of a high-level journal to a response I made to two reviews, one
Cattell Fund Supports Collaborative Research
The 2015–2016 James McKeen Cattell Fund Fellowships have been awarded to Peter C. Gordon, Lori Holt, and Greg Hajcak Proudfit. Presented in partnership with APS, the Fellowships allow recipients to extend their sabbatical periods from
How Much Should Scientists Check Other Scientists’ Work?
The Wall Street Journal: A question is dividing the scientific community: Is there a value to public health in spending time and money to replicate long-completed, peer-reviewed studies? Two recent high-profile papers that scrutinize older
Bayes for Beginners 2: The Prior
In his inaugural Presidential Column, APS President C. Randy Gallistel introduced beginners to Bayesian statistical analysis. This month, he continues the introduction to Bayes with a lesson on using prior distributions to improve parameter estimates.
Report Points to Need for Improved Reproducibility
Psychological science recently has drawn widespread public attention as a result of a new report estimating the reproducibility of studies in the field. This report, published in Science, showed that fewer than half of the