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Some Asymptotic Theory for the Bootstrap
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On Tail Probabilities for Martingales
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Statistical Models: Theory and Practice
TLDR
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.
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Iterated Random Functions
TLDR
Survey of iterated random functions offers a method for studying the steady state distribution of a Markov chain, and presents useful bounds on rates of convergence in a variety of examples.
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Machiavelli and the Gale-Shapley Algorithm
TLDR
The object here is to prove that the algorithm for assigning students to universities gives each student the best university available in a stable system of assignments.
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On the consistency of Bayes estimates
On etudie les proprietes de frequence des regles de Bayes avec une attention particuliere a la consistence
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On the histogram as a density estimator:L2 theory
Let f be a probability density on an interval I, finite or infinite: I includes its finite endpoints, if any; and f vanishes outside of I. Let X1, . . . ,X k be independent random variables, with…
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Finite Exchangeable Sequences
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Asymptotics of Graphical Projection Pursuit
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A solution to the ecological inference problem
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