M. Wheeler

Statistics and Probability · with Baker · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Wheeler trusts overall

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

  1. Neil D. Lawrence
  2. Mark A. Girolami
  3. Marc C. Kennedy
  4. Mauricio A Álvarez
  5. Nancy E. Heckman
  6. D. Higdon
  7. Ben Calderhead
  8. Pei Gao
  9. Anthony OʼHagan
  10. Magnus Rattray

Papers from M. Wheeler's perspective

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

  1. Space and Space-Time Modeling using Process Convolutions
  2. A process-convolution approach to modelling temperatures in the North Atlantic Ocean
  3. Modelling transcriptional regulation using Gaussian Processes
  4. Parameter estimation for differential equations: a generalized smoothing approach
  5. Riemann manifold Langevin and Hamiltonian Monte Carlo methods
  6. Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
  7. Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities
  8. Kernels for Vector-Valued Functions: a Review
  9. Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo (Interface Focus)
  10. Latent Force Models

Their papers