3 citations · 4 across the 7 of their papers we have counts for
9 papers
From Counting to Continuous Natural Exponential Families
Shaul K. Bar-Lev
Natural exponential families (NEFs) are characterized by their variance functions (VFs), namely by the pair \((V,M)\), where \(V\) expresses the variance as a function of the mean…
Exact two-sided p-values in natural exponential families: coincidence, non-uniqueness, and sample-size stability
Shaul K. Bar-Lev, Linard Hoessly
We study the non-uniqueness of exact two-sided -values in continuous one-parameter natural exponential families (NEFs). For directed one-sided problems, the tail -value agree…
Optimal E-Values for Exponential Families: the Simple Case
Peter Grünwald, Tyron Lardy, Yunda Hao +2
We provide a general condition under which e-variables in the form of a simple-vs.-simple likelihood ratio exist when the null hypothesis is a composite, multivariate exponential f…
Exponential Dispersion Models for Overdispersed Zero-Inflated Count Data
Shaul K. Bar-Lev, Ad Ridder
We consider three new classes of exponential dispersion models of discrete probability distributions which are defined by specifying their variance functions in their mean value pa…
New exponential dispersion models for count data -- the ABM and LM classes
Shaul K. Bar-Lev, Ad Ridder
In their fundamental paper on cubic variance functions, Letac and Mora (The Annals of Statistics,1990) presented a systematic, rigorous and comprehensive study of natural exponenti…
Monte Carlo Methods for Insurance Risk Computation
Shaul Bar-Lev, Ad Ridder
In this paper we consider the problem of computing tail probabilities of the distribution of a random sum of positive random variables. We assume that the individual variables foll…