If you made any changes in Pure these will be visible here soon.

Personal profile

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Intensity Function Mathematics
Contraction Mathematics
Splines Engineering & Materials Science
Spline Mathematics
Inhomogeneous Poisson Process Mathematics
Penalization Method Mathematics
Knot Mathematics
Conditional Quantiles Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

Robust Inference for Projection Structures

Nurushev, N., 2019, 177 p.

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

Open Access
File

Contributed comment on article by Wade and Ghahramani

Belitser, E. N. & Nurushev, N., 2018, In : Bayesian Analysis. 13, 2, p. 606-607 2 p.

Research output: Contribution to JournalComment / Letter to the editorAcademic

Contributed Discussion [on paper by Yao, Vehtari, Simpson, and Gelman]

Belitser, E. N. & Nurushev, N., 2018, In : Bayesian Analysis. 13, 3, p. 992-993 2 p.

Research output: Contribution to JournalComment / Letter to the editorAcademic

Local inference by penalization method for biclustering model

Belitser, E. & Nurushev, N., 2018, In : Mathematical Methods of Statistics. 27, 3, p. 163-183 21 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Penalization Method
Biclustering
Uncertainty Quantification
Model
Confidence Set

Contributed comment on article by van der Pas, Szabo, and van der Vaart.

Belitser, E. N. & Nurushev, N., 2017, In : Bayesian Analysis. 12, p. 1267-1269 1269 p.

Research output: Contribution to JournalComment / Letter to the editorAcademic

Activities 2013 2019

  • 13 Lecture / Presentation
  • 3 Workshop
  • 2 Conference
  • 1 Editorial work

Workshop YES X "Understanding Deep Learning: Generalization, Approximation and Optimization"

E.N. Belitser (Participant)
19 Mar 201922 Mar 2019

Activity: Participating in or organising an eventWorkshopAcademic

Robust inference for general projection structures

E.N. Belitser (Speaker)
19 Dec 2018

Activity: Lecture / PresentationAcademic

Robust inference for general framework of projection structures

E.N. Belitser (Speaker)
26 Oct 2018

Activity: Lecture / PresentationAcademic

Uncertainty Quantification in Complex, Nonparametric Statistical Models

E.N. Belitser (Participant)
18 Apr 201820 Apr 2018

Activity: Participating in or organising an eventWorkshopAcademic

Empirical Bayes uncertainty quantification for regression

E.N. Belitser (Speaker)
12 Jun 2018

Activity: Lecture / PresentationAcademic