David A. Freedman
University of California, Berkeley
196 Papers
1.9K Citations
David A. Freedman is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Causal inference & Statistical model. The author has an hindex of 63, co-authored 195 publications. Previous affiliations of David A. Freedman include University of Minnesota & University of California.
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Papers
On the histogram as a density estimator:L 2 theory
David A. Freedman,Persi Diaconis +1 more
TL;DR: In this article, a probability density on an interval I, finite or infinite, including its finite endpoints, if any; and f vanishes outside of I. To define this object, choose a reference point xosI and a cell width h.
•Book
Statistical Models: Theory and Practice
David A. Freedman
- 08 Aug 2005
TL;DR: This paper presents a meta-modelling framework for estimating the bootstrap values of multiple regression models based on data from Observational studies and experiments and a comparison of these models with real-world data.
Bootstrapping Regression Models
TL;DR: In this article, it is shown that the bootstrap approximation to the distribution of the least squares estimates is valid and some error bounds are given, and the regression and correlation models are considered.
On Tail Probabilities for Martingales
TL;DR: In this paper, the Laplace transform of the crossing time of a martingale with uniformly bounded increments is shown to have the same distribution as the distribution of crossing times of Brownian motion, even in the tail.
On the Consistency of Bayes Estimates
Persi Diaconis,David A. Freedman +1 more
TL;DR: In this paper, the authors discuss frequency properties of Bayes rules, paying special attention to consistency, and give a subjective equivalent to consistency and compute the derivative of the map taking priors to posteriors.