116 citations · 208 across the 10 of their papers we have counts for
8 papers · 1 filter
Goodness-of-Fit Testing for Point Processes in Large Populations
Sami Umut Can, Estate V. Khmaladze, Roger J. A. Laeven
Suppose we have an observed path from a point process counting event occurrences in a large population. Based on the observed path, we would like to test the null hypothesis that t…
Asymptotic hypothesis testing for the colour blind problem
Laura Dumitrescu, Estate V. Khmaladze
In the classical two-sample problem, the conventional approach for testing distributions equality is based on the difference between the two marginal empirical distribution functio…
Unitary transformations, empirical processes and distribution free testing
Estate Khmaladze
The main message in this paper is that there are surprisingly many different Brownian bridges, some of them - familiar, some of them - less familiar. Many of these Brownian bridges…
Asymptotically distribution-free goodness-of-fit testing for tail copulas
Sami Umut Can, John H. J. Einmahl, Estate V. Khmaladze +1
Let be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution. The asymptot…
Note on distribution free testing for discrete distributions
Estate Khmaladze
The paper proposes one-to-one transformation of the vector of components of Pearson's chi-square statistic, \[Y_{in}=\frac{ν_{in}-np_i}{\sqrt{np_i}},\qquad i=1…
Central limit theorems for local empirical processes near boundaries of sets
John H. J. Einmahl, Estáte V. Khmaladze
We define the local empirical process, based on i.i.d. random vectors in dimension , in the neighborhood of the boundary of a fixed set. Under natural conditions on the shri…