Ajay Jasra

Artificial Intelligence · 2005–2015

A researcher in the Science corpus: 7 papers; trusts 50 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #8,895 of 35,345 by trust here, #11,624 by citations
• Statistics and Probability — 47 citations into it; #2,652 of 12,932 by trust here, #2,108 by citations
• Probabilistic & Bayesian Methods — 30 citations into it
• Finance — 17 citations into it
• Control and Systems Engineering — 11 citations into it
• Mathematical Physics — 9 citations into it
• Management Science and Operations Research — 8 citations into it; #9,507 of 11,946 by trust here, #9,383 by citations
• Global and Planetary Change — 7 citations into it

Whom Ajay Jasra trusts overall

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

1. Radford M. Neal
2. Pierre Del Moral
3. Gareth O. Roberts
4. Arnaud Doucet
5. Peter J. Green
6. Tim Hesterberg
7. Paul Fearnhead
8. Christophe Andrieu
9. Matthew Stephens
10. Jun S. Liu

Who trusts Ajay Jasra overall

1. Alexandros Beskos
2. Justin Grimmer
3. Christoph Pamminger
4. Laurent E. Calvet
5. D. Crisan
6. Motonobu Kanagawa
7. Jean-Michel Marin
8. Jasper A. Vrugt
9. Mojtaba Sadegh
10. Sylvia Frühwirth-Schnatter

Papers from Ajay Jasra's perspective

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

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Sequential Monte Carlo samplers
3. Monte Carlo Strategies in Scientific Computing
4. Weak convergence and optimal scaling of random walk Metropolis algorithms
5. Monte Carlo strategies in scientific computing
6. Annealed importance sampling
7. On inference for partially observed nonlinear diffusion models using the Metropolis–Hastings algorithm
8. Following a moving target—Monte Carlo inference for dynamic Bayesian models
9. Population Monte Carlo
10. Optimal scaling of discrete approximations to Langevin diffusions

Their papers

• Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling (2005) — 721 citations
• Filtering via approximate Bayesian computation (2010) — 103 citations
• On the stability of sequential Monte Carlo methods in high dimensions (2011) — 186 citations
• An adaptive sequential Monte Carlo method for approximate Bayesian computation (2011) — 539 citations
• Robust Finite-Time Control of Switched Linear Systems and Application to a Class of Servomechanism Systems (2015) — 132 citations
• Error Bounds and Normalising Constants for Sequential Monte Carlo Samplers in High Dimensions (2014) — 49 citations
• Inference for Lévy‐Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo (2011) — 148 citations