Parametrized measure models

Parametrized measure models

We develop a new and general notion of parametric measure models and statistical models on an arbitrary sample space Ω which does not assume that all measures of the model have the same null sets. This is given by a differentiable map from the parameter manifold M into the set of finite measures or probability measures on Ω, respectively, which is differentiable when regarded as a map into the ...

Ramsey theorems parametrized by a measure∗

I show how Ramsey-type theorems can be naturally parametrized with a probability measure and prove several of the resulting statements.

GPU performance prediction using parametrized models

Probit and nested logit models based on fuzzy measure

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...

On-chip Interconnects: New Accurate Nominal and Parametrized Models

Această lucrare descrie tehnici specializate de extragere a modelelor nominale şi parametrice pentru interconexiunile lungi descompuse în linii drepte, modelate ca linii de transmisie şi în componente de joncţiune, modelate ca dispozitive pasive. Un pas important în modelare este extragerea parametrilor lineici pentru linia de transmisie. Este prezentată o nouă abordare pentru calculul conducta...