activity
20062026
most citedA general asymptotic scheme for inference under order restrictions

51 citations · 104 across the 9 of their papers we have counts for

collaborators

10 papers

math.ST2026

Order restricted estimation of the parameter functions in an additive hazard model

Dragi Anevski, ElBatoul Manel Merai

In this paper we propose estimators of the parameter functions in an Aalen additive hasard regression model. The estimators are the individual and componentwise projections o…

stat.ME2018

Estimating the distribution of marks of a homogeneous marked Poisson process

Dragi Anevski, Vladimir Pastukhov

In this paper we propose an estimator of the distribution of events of different kinds in a homogeneous Poisson process. We give an explicit solution for the maximum likelihood est…

math.ST2017

The asymptotic distribution of the isotonic regression estimator over a general countable pre-ordered set

Dragi Anevski, Vladimir Pastukhov

We study the isotonic regression estimator over a general countable pre-ordered set. We obtain the limiting distribution of the estimator and study its properties. It is proved tha…

math.ST2016

Estimating a monotone probability mass function with known flat regions

Dragi Anevski, Vladimir M. Pastukhov

We propose a new estimator of a discrete monotone probability mass function with known flat regions. We analyse its asymptotic properties and compare its performance to the Grenand…

math.ST2016

A stochastic process approach to multilayer neutron detectors

Dragi Anevski, Richard Hall-Wilton, Kalliopi Kanaki +1

The sparsity of the isotope Helium-3, ongoing since 2009, has initiated a new generation of neutron detectors. One particularly promising development line for detectors is the mult…

math.ST2016

Functional central limit theorems for the Nelson-Aalen and Kaplan-Meier estimators for dependent stationary data

Dragi Anevski

We derive process limit distribution results for the Nelson-Aalen estimator of a hasard function and for the Kaplan-Meier estimator of a distribution function, under different depe…