Victor Elvira

Statistics and Probability · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it
• Artificial Intelligence — 24 citations into it; #23,061 of 35,345 by trust here, #28,481 by citations
• Probabilistic & Bayesian Methods — 15 citations into it
• Computer Networks and Communications — 5 citations into it
• Mathematical Physics — 5 citations into it

Whom Victor Elvira trusts overall

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

1. Olivier Capp'e
2. Arnaud Doucet
3. Randal Douc
4. Neil J. Gordon
5. Tim Hesterberg
6. Jun S. Liu
7. Jean-Michel Marin
8. Arnaud Guillin
9. Christian P. Robert
10. Jean-Marie Cornuet

Who trusts Victor Elvira overall

1. Aki Vehtari
2. Andrew Gelman
3. Jonah Gabry
4. Luca Martino

Papers from Victor Elvira's perspective

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

1. Population Monte Carlo
2. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
3. Sequential Monte Carlo Methods in Practice
4. Monte Carlo Strategies in Scientific Computing
5. Minimum variance importance sampling via Population Monte Carlo
6. On sequential Monte Carlo sampling methods for Bayesian filtering
7. Comparison of resampling schemes for particle filtering
8. A Tutorial on Particle Filtering and Smoothing: Fifteen years later
9. Weighted Average Importance Sampling and Defensive Mixture Distributions
10. Sequential Monte Carlo methods for dynamic systems

Their papers

• Rethinking the Effective Sample Size (2018) — 96 citations
• Generalized Multiple Importance Sampling (2015) — 169 citations
• MCMC-Driven Adaptive Multiple Importance Sampling (2015) — 14 citations