Lassi Roininen

Statistics and Probability · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lassi Roininen trusts overall

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

  1. Jari P. Kaipio
  2. Matti Lassas. Eero Saksman
  3. Roger A. Horn
  4. Christopher J. Paciorek
  5. Maurizio Filippone
  6. Jonas Wallin
  7. Sari Lasanen
  8. Simon L. Cotter
  9. Andrew M. Stuart
  10. Håvard Rue

Who trusts Lassi Roininen overall

  1. F. Monard
  2. Richard Nickl

Papers from Lassi Roininen's perspective

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

  1. Gaussian Markov Random Fields: Theory and Applications
  2. A General Framework for the Parametrization of Hierarchical Models
  3. Statistical and computational inverse problems
  4. Inverse problems: A Bayesian perspective (Acta Numerica)
  5. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  6. Geostatistical Modelling Using Non‐Gaussian Matérn Fields
  7. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
  8. MCMC Methods for Functions: ModifyingOld Algorithms to Make Them Faster
  9. Pseudo-Marginal Bayesian Inference for Gaussian Processes
  10. Non-Gaussian statistical inverse problems. Part I: Posterior distributions

Their papers