Lauren Kennedy

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

• Statistics and Probability — 36 citations into it
• Artificial Intelligence — 30 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Lauren Kennedy trusts overall

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

1. Andrew Gelman

Papers from Lauren Kennedy's perspective

Ordered by how strongly the researchers Lauren Kennedy 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. Handbook of Markov Chain Monte Carlo
5. On a Measure of the Information Provided by an Experiment
6. A Conceptual Introduction to Hamiltonian Monte Carlo
7. Valid post-selection inference
8. Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Journal of the American Statistical Association)
9. Counterfactuals and Causal Inference by Stephen L. Morgan
10. Bayesian Nonparametric Modeling for Causal Inference

Their papers

• Bayesian Workflow (2020) — 344 citations