8 citations · 11 across the 4 of their papers we have counts for
7 papers
Hierarchical Aitchison-Silvey models for incomplete binary sample spaces
Anna Klimova, Tamás Rudas
Multivariate sample spaces may be incomplete Cartesian products, when certain combinations of the categories of the variables are not possible. Traditional log-linear models, which…
On the role of the overall effect in exponential families
Anna Klimova, Tamás Rudas
Exponential families of discrete probability distributions when the normalizing constant (or overall effect) is added or removed are compared in this paper. The latter setup, in wh…
Testing the fit of relational models
Anna Klimova, Tamás Rudas
Relational models generalize log-linear models to arbitrary discrete sample spaces by specifying effects associated with any subsets of their cells. A relational model may include…
Broadband acoustic trapping of a particle by a soft plate with a periodic deep grating
Hailong He, Shiliang Ouyang, Zhaojian He +2
We investigated the acoustic radiation force (ARF) acting on a cylindrical brass particle near an acoustically soft plate patterned with a periodic deep grating. The existence of a…
Faithfulness and learning hypergraphs from discrete distributions
Anna Klimova, Caroline Uhler, Tamas Rudas
The concepts of faithfulness and strong-faithfulness are important for statistical learning of graphical models. Graphs are not sufficient for describing the association structure…
Iterative Scaling in Curved Exponential Families
Anna Klimova, Tamas Rudas
The paper describes a generalized iterative proportional fitting procedure which can be used for maximum likelihood estimation in a special class of the general log-linear model. T…