/explore
|
You are here 
|
phil-stat-wars.com | ||
| | | | |
blog.apaonline.org
|
|
| | | | | "[C]onfusion about the foundations of the subject is responsible, in my opinion, for much of the misuse of the statistics that one meets in fields of application such as medicine, psychology, sociology, economics, and so forth." (George Barnard 1985, p. 2) "Relevant clarifications of the nature and roles of statistical evidence in scientific research may | |
| | | | |
liberalarts.vt.edu
|
|
| | | | | [AI summary] A group of international scholars and researchers gathered at Virginia Tech for a summer seminar to explore the philosophy of statistics, aiming to establish it as a new academic field with interdisciplinary collaboration and publications. | |
| | | | |
philstatwars.wordpress.com
|
|
| | | | | General Schedule PDF CLICK ON READINGS Topic: Current Controversies in Phil Stat (LSE, Remote 15:00 - 17:00; Thursdays 21 May-18 June) Main Text SIST:Statistical Inference as Severe Testing: How to Get Beyond the Statistics WarsCUP, 2018)*: Slides for each meeting will be on individual meeting posts on this blog. I. (May 21) Introduction: Controversies in... | |
| | | | |
peterbloem.nl
|
|
| | | [AI summary] The pseudo-inverse is a powerful tool for solving matrix equations, especially when the inverse does not exist. It provides exact solutions when they exist and least squares solutions otherwise. If multiple solutions exist, it selects the one with the smallest norm. The pseudo-inverse can be computed using the singular value decomposition (SVD), which is numerically stable and handles cases where the matrix does not have full column rank. The SVD approach involves computing the SVD of the matrix, inverting the non-zero singular values, and then reconstructing the pseudo-inverse using the modified SVD components. This method is preferred due to its stability and ability to handle noisy data effectively. | ||
