Oleksandr Gromenko

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oleksandr Gromenko trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dirk Eddelbuettel
  2. Xianyang Zhang
  3. Piotr Kokoszka
  4. Piotr Fryzlewicz
  5. Michael L. Stein
  6. Marc G. Genton
  7. Xiaofeng Shao
  8. Haeran Cho

Papers from Oleksandr Gromenko's perspective

Ordered by how strongly the researchers Oleksandr Gromenko trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Seamless R and C++ Integration with Rcpp
  2. Multiple‐change‐point detection for high dimensional time series via sparsified binary segmentation
  3. Space–Time Covariance Functions
  4. Inference for Functional Data with Applications
  5. Testing the structural stability of temporally dependent functional observations and application to climate projections
  6. Wild binary segmentation for multiple change-point detection
  7. Separable approximations of space‐time covariance matrices
  8. Break detection in the covariance structure of multivariate time series models
  9. Weakly dependent functional data
  10. Detecting changes in the mean of functional observations

Their papers