Martin Modr'ak

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Modr'ak trusts overall

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

  1. Andrew Gelman

Papers from Martin Modr'ak's perspective

Ordered by how strongly the researchers Martin Modr'ak trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  2. Automatic Differentiation Variational Inference
  3. Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
  4. A Conceptual Introduction to Hamiltonian Monte Carlo
  5. On a Measure of the Information Provided by an Experiment
  6. Handbook of Markov Chain Monte Carlo
  7. Counterfactuals and Causal Inference by Stephen L. Morgan
  8. Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Journal of the American Statistical Association)
  9. Valid post-selection inference
  10. Bayesian Nonparametric Modeling for Causal Inference

Their papers