Seminar on History and Foundations of Probability and Statistics
Spring 2024
May 2, Kenny Easwaran (UC Irvine).
Updating by maximizing expected accuracy in infinite non-partitional settings
.
Feb 29, Krzysztof Mierzewski (CMU).
Probing the qualitative-quantitative divide in probability logics
.
Feb 15, Kevin Dorst (MIT).
Good Guesses: The Conjunction Fallacy and the Tradeoff between Accuracy and Informativity
.
Fall 2023
Nov 9, John Norton (Pittsburgh).
Chance Combinatorics
.
Oct 19, Glenn Shafer (Rutgers).
One Way Testing by Betting Can Improve Data Analysis: Optional Continuation
.
Oct 5, Jacob Barandes (Harvard).
Probabilistic Systems and the Stochastic-Quantum Theorem
.
Sept 28, Paolo Mancosu (Berkeley).
Totality, Regularity, and Cardinality in Probability Theory
.
Sept 21, David Bellhouse (Western University).
The Flawed Genius of William Playfair
.
Spring 2023
May 1, Anubav Vasudevan (Chicago).
Entropy and Subjectivism
.
Apr 24, Eddy Keming Chen (UCSD).
Algorithmic Randomness and Probabilistic Laws
(with Jeffrey A. Barrett, Irvine).
Apr 17, Kit Fine (NYU).
Parity, Probability and Approximate Difference
.
Apr 3, Michael Acre (UCSF).
Why the Concept of Statistical Inference Is Incoherent, and Why We Still Love It
.
Mar 27, Ezra Rubenstein (Berkeley).
Probability from Symmetry
.
Mar 20, Tessa Murthy (CMU).
Von Mises, Popper, and the Cournot Principle
.
Feb 27, Zachary Goodsell (USC).
Symmetry of Value
.
Jan 23, Boris Babic (Toronto).
Inference, Optimal Stopping and New Hypotheses
.
Fall 2022
Nov 28, Peter Grünwald (CWI/Amsterdam).
Beyond Neyman-Pearson
.
Oct 31, Marshall Abrams (Alabama).
Bootstrapping Objective Probabilities for Evolutionary Biology
.
Oct 3, Gordon Belot (U Michigan).
That Does Not Compute: David Lewis on Credence and Chance
.
Sept 19, Hartry Field (NYU).
Bayesianism via Likelihood Theory
.
Spring 2022
Apr 11, Francesco Orabona (Boston).
Two Birds with One Coin: Convex Optimization and Confidence Sequences with Coin-Betting
.
Apr 4, Michele Caprio (Duke).
Extended probabilities and their application to statistical inference
.
Mar 21, Sandy Zabell (Northwestern).
Interpreting Carnap: Seven Decades Later
.
Mar 7, Glenn Shafer (Rutgers), Dustin Lazarovici (Lausanne), Leah Henderson (Groningen), and Eddy Keming Chen (UCSD).
Game-theoretic probability in physics
.
Feb 28, Alex Meehan (Yale), Monique Jeanblanc (Evry), Barry Loewer (Rutgers), and Tahir Choulli (Alberta).
Objective probability at different levels of knowledge
.
Feb 14, Isaac Wilhelm (NUS), Ryan Martin (NC State), Alan Hájek (ANU), and Snow Xueyin Zhang (NYU).
Cournot’s principle and the best-system interpretation of probability
.
Feb 7, Marshall Abrams (Alabama), Ruobin Gong (Rutgers), Alistair Wilson (Birmingham), and Harry Crane (Rutgers).
Are the repeated sampling principle and Cournot’s principle frequentist?
Jan 31, Philip Dawid (Cambridge), Ilya Shpitser (Johns Hopkins), Thomas Richardson (Washington), and Sylvia Wenmackers (KU Leuven).
Are probability distributions for potential responses real and necessary for causal inference?
Jan 24, Jenann Ismael (Columbia), Itzhak Gilboa (Tel Aviv, HEC Paris), Stephen Senn (consultant), and Sherrilyn Roush (UCLA).
Should decision theory guide the formulation of the principal principle?
Fall 2021
Dec 6, Kevin Blackwell (Bristol).
Exploitability and accuracy
.
Nov 29, Judith ter Schure (Leiden).
ALL-IN meta-analysis
.
Nov 22, Alexander Meehan (Yale).
A framework for non-fundamental chance
.
Nov 15, Isaac Wilhelm (NUS).
The Typical Principle
.
Nov 8, Ruobin Gong (Rutgers).
Measuring severity in statistical inference
.
Nov 1, Snow Xueyin Zhang (NYU).
Borel and Bertrand
.
Oct 18, Tze Leung Lai (Stanford).
From domain-specific probability models to evaluation of model-based probability forecasts
.
Oct 4, Marshall Abrams (Alabama).
Pseudochance vs. true chance in complex systems
.
Sept 20, Glenn Shafer (Rutgers).
Descriptive probability
.
The schedule for 2016-2021 is archived
here
.