Mateusz B. Majka

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mateusz B. Majka trusts overall

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

  1. Martin Hairer
  2. A. Joulin
  3. Andreas Eberle
  4. Yann Ollivier
  5. Jonathan C. Mattingly

Papers from Mateusz B. Majka's perspective

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

  1. Markov Chains and Stochastic Stability
  2. Asymptotic coupling and a general form of Harris’ theorem with applications to stochastic delay equations
  3. Yet Another Look at Harris’ Ergodic Theorem for Markov Chains
  4. Spectral gaps in Wasserstein distances and the 2D stochastic Navier–Stokes equations
  5. Ricci curvature of Markov chains on metric spaces
  6. CURVATURE, CONCENTRATION AND ERROR ESTIMATES FOR MARKOV CHAIN MONTE CARLO
  7. Central limit theorem for Markov processes with spectral gap in the Wasserstein metric
  8. Analysis and Geometry of Markov Diffusion Operators
  9. Subgeometric rates of convergence of Markov processes in the Wasserstein metric
  10. Spectral gaps for a Metropolis–Hastings algorithm in infinite dimensions

Their papers