Christopher Fonnesbeck

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it; #560 of 1,525 by trust here, #601 by citations
• Statistics and Probability — 9 citations into it

Whom Christopher Fonnesbeck trusts overall

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

1. J. Hadfield
2. Andrew Gelman
3. Hirotogu Akaike
4. Matthew D. Hoffman
5. Emden R. Gansner

Who trusts Christopher Fonnesbeck overall

1. Andreas Holzinger
2. Willie Neiswanger
3. Michael A. Gelbart
4. Garrett Bernstein
5. Adarsh Subbaswamy
6. R. Jansson
7. James R. Wright
8. Dustin Tran
9. Aki Vehtari

Papers from Christopher Fonnesbeck's perspective

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

1. Information Theory and an Extension of the Maximum Likelihood Principle
2. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
3. Fractals and Statistics: An R Package Called IFS
4. A New Approach to Probabilistic Programming Inference
5. Estimating the Dimension of a Model
6. Church: a language for generative models
7. Venture: a higher-order probabilistic programming platform with programmable inference
8. Probability theory: the logic of science
9. SciPy: Open Source Scientific Tools for Python
10. MCMC methods for multi-response generalized linear mixed models

Their papers

• PyMC: Bayesian Stochastic Modelling in Python (2010) — 705 citations
• Probabilistic programming in Python using PyMC3 (2016) — 2,362 citations