T. Speed

Publications106
h-index27
Citations5,331
Highly Influential Citations284
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Discrete Parameter Martingales
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On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
In the portion of the paper translated here, Neyman introduces a model for the analysis of field experiments conducted for the purpose of comparing a number of crop varieties, which makes use of a…
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Gaussian Markov Distributions over Finite Graphs
On s'interesse aux modeles de selection de covariance introduites par Dempster (1972) et etudies par Wermuth (1976)
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Density estimation by stochastic complexity
TLDR
Two theoresms are proved, which together extend the universal coding theorems to a large class of data generating densities and give an asymptotic upper bound for the code redundancy in the order of magnitude, achieved with a special predictive type of histogram estimator, which sharpens a related bound.
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Markov Fields and Log-Linear Interaction Models for Contingency Tables
We use a close connection between the theory of Markov fields and that of log-linear interaction models for contingency tables to define and investigate a new class of models for such tables,…
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CUMULANTS AND PARTITION LATTICES1
Summary The (joint) cumulant of a set of (possibly coincident) random variables is defined as an alternating sum of moments with appropriate integral coefficients. By exploiting properties of the…
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Balance in Designed Experiments with Orthogonal Block Structure
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Structural Analysis of Multivariate Data: A Review
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Recursive causal models
Abstract The notion of a recursive causal graph is introduced, hopefully capturing the essential aspects of the path diagrams usually associated with recursive causal models. We describe the…
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Additive and Multiplicative Models and Interactions
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