Noam Ross

Statistics and Probability · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it
• Artificial Intelligence — 11 citations into it
• Economics and Econometrics — 6 citations into it

Whom Noam Ross trusts overall

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

1. Simon N. Wood
2. Paul-Christian Burkner
3. V. Gómez‐Rubio

Papers from Noam Ross's perspective

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

1. A Practical Guide to Splines
2. Generalized Additive Models
3. Smoothing Parameter and Model Selection for General Smooth Models
4. brms: An R Package for Bayesian Multilevel Models Using Stan
5. Bayesian data analysis, third edition
6. Fitting Linear Mixed-Effects Models Using lme4
7. Stan: A Probabilistic Programming Language
8. Practical variable selection for generalized additive models (Computational Statistics & Data Analysis)
9. Stein's Paradox in Statistics
10. Functional Regression

Their papers

• Climate change increases cross-species viral transmission risk (2022) — 746 citations
• Hierarchical generalized additive models in ecology: an introduction with mgcv (2019) — 1,006 citations
• Host and viral traits predict zoonotic spillover from mammals (2017) — 999 citations