activity
20062026
most citedAsymptotics of the discrete log-concave maximum likelihood estimator and related applications

36 citations · 97 across the 10 of their papers we have counts for

collaborators

11 papers

stat.ME2026

Bandwidth-free nonparametric density estimation for grouped data

Furkan Danisman, Hanna Jankowski, Camila P. E. de Souza

In some situations, data is collected under systematical and technical constraints due to uncertainty in experimental reports, intermittent measurements, confidentiality, and non-d…

math.ST2014

Multiple Comparisons using Composite Likelihood in Clustered Data

Mahdis Azadbakhsh, Xin Gao, Hanna Jankowski

We study the problem of multiple hypothesis testing for multidimensional data when inter-correlations are present. The problem of multiple comparisons is common in many application…

math.ST2012★ 30 cited

Convergence of linear functionals of the Grenander estimator under misspecification

Hanna Jankowski

Under the assumption that the true density is decreasing, it is well known that the Grenander estimator converges at rate if the true density is curved [Sankhyā Ser. A 31…

stat.ME2011★ 36 cited

Asymptotics of the discrete log-concave maximum likelihood estimator and related applications

Fadoua Balabdaoui, Hanna Jankowski, Kaspar Rufibach +1

The assumption of log-concavity is a flexible and appealing nonparametric shape constraint in distribution modelling. In this work, we study the log-concave maximum likelihood esti…

math.ST2009★ 1 cited

Estimation of a discrete monotone distribution

Hanna K. Jankowski, Jon A. Wellner

We study and compare three estimators of a discrete monotone distribution: (a) the (raw) empirical estimator; (b) the "method of rearrangements" estimator; and (c) the maximum like…

stat.ME2009★ 1 cited

Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions

Larissa I. Stanberry, Hanna K. Jankowski

Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape est…