4 citations · 4 across the 6 of their papers we have counts for
8 papers
Chentsov's theorem for exponential families
James G. Dowty
Chentsov's theorem characterizes the Fisher information metric on statistical models as essentially the only Riemannian metric that is invariant under sufficient statistics. This i…
Higher-order asymptotics for the parametric complexity
James G. Dowty
The parametric complexity is the key quantity in the minimum description length (MDL) approach to statistical model selection. Rissanen and others have shown that the parametric co…
Volumes of logistic regression models with applications to model selection
James G. Dowty
Logistic regression models with observations and linearly-independent covariates are shown to have Fisher information volumes which are bounded below by and above by…
SMML estimators for linear regression and tessellations of hyperbolic space
James G. Dowty
The strict minimum message length (SMML) principle links data compression with inductive inference. The corresponding estimators have many useful properties but they can be hard to…
The time-evolution of DCIS size distributions with applications to breast cancer growth and progression
James G. Dowty, Graham B. Byrnes, Dorota M. Gertig
Ductal carcinoma {\em in situ} (DCIS) lesions are non-invasive tumours of the breast which are thought to precede most invasive breast cancers (IBC). As individual DCIS lesions are…
SMML estimators for exponential families with continuous sufficient statistics
James G. Dowty
The minimum message length principle is an information theoretic criterion that links data compression with statistical inference. This paper studies the strict minimum message len…