• Publications
  • Influence
Discrete Parameter Martingales
  • 850
  • 52
  • PDF
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 aExpand
  • 1,085
  • 39
  • PDF
Gaussian Markov Distributions over Finite Graphs
On s'interesse aux modeles de selection de covariance introduites par Dempster (1972) et etudies par Wermuth (1976)
  • 292
  • 32
Density estimation by stochastic complexity
The results by P.J. Hall and E. Hannan (1988) on optimization of histogram density estimators with equal bin widths by minimization of the stochastic complexity are extended and sharpened in two separate ways. Expand
  • 137
  • 17
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,Expand
  • 416
  • 15
  • PDF
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 theExpand
  • 79
  • 13
Additive and Multiplicative Models and Interactions
  • 77
  • 7
  • PDF
Recursive causal models
On introduit la notion de graphe causal recursif et on decrit les contraintes d'independance conditionnelle
  • 201
  • 5