Iason Papaioannou
Statistics and Probability · 2014–2022
A researcher in the Science corpus: 10 papers; trusts 56 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 88 citations into it; #3,463 of 12,932 by trust here, #3,411 by citations
- Civil and Structural Engineering — 49 citations into it; #2,408 of 6,160 by trust here, #4,455 by citations
- Mechanics of Materials — 23 citations into it; #5,615 of 6,291 by trust here, #4,794 by citations
- Artificial Intelligence — 22 citations into it
- Probabilistic & Bayesian Methods — 18 citations into it
- Safety, Risk, Reliability and Quality — 14 citations into it; #361 of 1,220 by trust here, #407 by citations
- Environmental Engineering — 11 citations into it
- Computational Theory and Mathematics — 9 citations into it
Whom Iason Papaioannou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rüdiger Rackwitz
- Siu-Kui Au
- Daniel Straub
- James L. Beck
- Nicolas Chopin
- James O. Berger
- C. Bucher
- Radford M. Neal
- Kok-Kwang Phoon
- E. Vanmarcke
Who trusts Iason Papaioannou overall
- Kai Cheng
- Daniel Straub
- Zhenzhou Lu
- Sebastian Geyer
- Diego A. Alvarez
- Xiaobo Zhang
- Sohag Kabir
- Felipe Uribe
- Yanping Wang
- Z. Cao
Papers from Iason Papaioannou's perspective
Ordered by how strongly the researchers Iason Papaioannou trusts endorse each paper. Same corpus, a different order for every researcher.
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Simulation and the Monte Carlo method
- A tutorial on adaptive MCMC
- Optimal scaling of discrete approximations to Langevin diffusions
- Regression and Classification Using Gaussian Process Priors
- Optimal scaling for various Metropolis-Hastings algorithms
- Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study
- Monte Carlo Statistical Methods
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- MCMC algorithms for Subset Simulation (2015) — 389 citations
- Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014) — 312 citations
- Bayesian Updating with Structural Reliability Methods (2015) — 307 citations
- Sequential importance sampling for structural reliability analysis (2016) — 255 citations
- Combination line sampling for structural reliability analysis (2021) — 87 citations
- Reliability sensitivity estimation with sequential importance sampling (2018) — 104 citations
- Rare event estimation with sequential directional importance sampling (2022) — 54 citations
- Bayesian inference of random fields represented with the Karhunen–Loève expansion (2020) — 53 citations
- Cross entropy-based importance sampling using Gaussian densities revisited (2019) — 133 citations
- Learning soil parameters and updating geotechnical reliability estimates under spatial variability – theory and application to shallow foundations (2017) — 72 citations