RUTGERS UNIVERSITY DEPARTMENT OF STATISTICS AND BIOSTATISTICS www.stat.rutgers.edu
Seminar θSpeaker: Professor Deborah Mayo, Virginia Tech
Title: Probing with Severity: Beyond Bayesian Probabilism and Frequentist Performance
Time: 3:20 – 4:20pm, Wednesday, December 3, 2014 Place: 552 Hill Center
ABSTRACT
Probing with Severity: Beyond Bayesian Probabilism and Frequentist Performance Getting beyond today’s most pressing controversies revolving around statistical methods, I argue, requires scrutinizing their underlying statistical philosophies.Two main philosophies about the roles of probability in statistical inference are probabilism and performance (in the long-run). The first assumes that we need a method of assigning probabilities to hypotheses; the second assumes that the main function of statistical method is to control long-run performance. I offer a third goal: controlling and evaluating the probativeness of methods. An inductive inference, in this conception, takes the form of inferring hypotheses to the extent that they have been well or severely tested. A report of poorly tested claims must also be part of an adequate inference. I develop a statistical philosophy in which error probabilities of methods may be used to evaluate and control the stringency or severity of tests. I then show how the “severe testing” philosophy clarifies and avoids familiar criticisms and abuses of significance tests and cognate methods (e.g., confidence intervals). Severity may be threatened in three main ways: fallacies of statistical tests, unwarranted links between statistical and substantive claims, and violations of model assumptions.
The Philosophy of Statistics: Bayesianism, Frequentism and the Nature of Inference,
2015 APS Annual Convention
Saturday, May 23 2:00 PM- 3:50 PM in Wilder
(Marriott Marquis 1535 B’way)
Presenters:
Andrew Gelman, Professor of Statistics & Political Science, Columbia University
Stephen Senn, Head of Competence Center for Methodology and Statistics (CCMS) Luxembourg Institute of Health
D.G. Mayo, Professor of Philosophy, Virginia Tech
Richard Morey, Session Chair & Discussant, Senior Lecturer School of Psychology, Cardiff University
Metro Area Philosophy of Science Presents:
Elizabeth Miller (Yale),
Title: TBA.
Jonathan Bain (NYU)
What Explains the Spin-Statistics Connection?
The spin-statistics connection plays an essential role in explanations of non-relativistic phenomena associated with both field-theoretic and non-field-theoretic systems (for instance, it explains the electronic structure of solids and the behavior of Einstein-Bose condensates and superconductors). However, it is only derivable within the context of relativistic quantum field theory (RQFT) in the form of the Spin-Statistics Theorem; and moreover, there are multiple, mutually incompatible ways of deriving it. This essay attempts to determine the sense in which the spin-statistics connection can be said to be an essential property in RQFT, and how it is that an essential property of one type of theory can figure into fundamental explanations offered by other, inherently distinct theories.
Presented by Metro Area Philosophers of Science
Spring 2020 Schedule:
Anthony Aguirre (UCSC) – “Entropy in long-lived genuinely closed quantum systems”
6:30-8:30pm Tuesday Feb 4; NYU Philosophy Department (5 Washington Place), 3rd floor seminar room.
David Papineau (King’s College London & CUNY) – “The Nature of Representation”
4:30-6:30pm Tuesday March 3; CUNY Graduate Center (365 5th Ave, NYC), room 5307.
Jim Holt (Author of Why Does the World Exist?) – “Here, Now, Photon: Why Newton was closer to EM than Maudlin is”
4:30-6:30pm Tuesday April 7; CUNY Graduate Center (365 5th Ave, NYC), room 5307.
Deborah Mayo (Virginia Tech)
4:30-6:30pm Tuesday April 28; CUNY Graduate Center (365 5th Ave, NYC), room 5307.
Naked Statistical Evidence and Verdictive Justice