Philosophy and the practice of Bayesian statistics

A Gelman, CR Shalizi - British Journal of Mathematical and …, 2013 - Wiley Online Library
A substantial school in the philosophy of science identifies Bayesian inference with inductive
inference and even rationality as such, and seems to be strengthened by the rise and …

Modern Bayesian experimental design

T Rainforth, A Foster, DR Ivanova… - Statistical …, 2024 - projecteuclid.org
Bayesian experimental design (BED) provides a powerful and general framework for
optimizing the design of experiments. However, its deployment often poses substantial …

Generalized out-of-distribution detection: A survey

J Yang, K Zhou, Y Li, Z Liu - International Journal of Computer Vision, 2024 - Springer
Abstract Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of
machine learning systems. For instance, in autonomous driving, we would like the driving …

Weight uncertainty in neural network

C Blundell, J Cornebise… - … on machine learning, 2015 - proceedings.mlr.press
We introduce a new, efficient, principled and backpropagation-compatible algorithm for
learning a probability distribution on the weights of a neural network, called Bayes by …

[BOOK][B] From bacteria to Bach and back: The evolution of minds

DC Dennett - 2017 - books.google.com
" A supremely enjoyable, intoxicating work."—Nature How did we come to have minds? For
centuries, poets, philosophers, psychologists, and physicists have wondered how the …

On how religions could accidentally incite lies and violence: folktales as a cultural transmitter

QH Vuong, MT Ho, HKT Nguyen, TT Vuong… - Palgrave …, 2020 - nature.com
Folklore has a critical role as a cultural transmitter, all the while being a socially accepted
medium for the expressions of culturally contradicting wishes and conducts. In this study of …

A student's guide to Bayesian statistics

B Lambert - 2018 - torrossa.com
Untitled Page 1 Page 2 A Student’s Guide to BAYESIAN STATISTICS Page 3 Sara Miller
McCune founded SAGE Publishing in 1965 to support the dissemination of usable knowledge …

The time has come: Bayesian methods for data analysis in the organizational sciences

JK Kruschke, H Aguinis, H Joo - Organizational Research …, 2012 - journals.sagepub.com
The use of Bayesian methods for data analysis is creating a revolution in fields ranging from
genetics to marketing. Yet, results of our literature review, including more than 10,000 …

[BOOK][B] Modern statistics for the social and behavioral sciences: A practical introduction

R Wilcox - 2017 - taylorfrancis.com
Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences
provides a two-semester, graduate-level introduction to basic statistical techniques that …

Simulation-based optimal Bayesian experimental design for nonlinear systems

X Huan, YM Marzouk - Journal of Computational Physics, 2013 - Elsevier
The optimal selection of experimental conditions is essential to maximizing the value of data
for inference and prediction, particularly in situations where experiments are time …