Daniel Straub
Statistics and Probability · 2004–2022
A researcher in the Science corpus: 13 papers; trusts 61 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 80 citations into it; #2,905 of 12,932 by trust here, #3,102 by citations
- Civil and Structural Engineering — 54 citations into it; #1,472 of 6,160 by trust here, #3,892 by citations
- Artificial Intelligence — 28 citations into it
- Probabilistic & Bayesian Methods — 24 citations into it
- Mechanics of Materials — 17 citations into it; #2,901 of 6,291 by trust here, #4,102 by citations
- Safety, Risk, Reliability and Quality — 12 citations into it; #327 of 1,220 by trust here, #407 by citations
- Environmental Engineering — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Daniel Straub trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rüdiger Rackwitz
- Siu-Kui Au
- James L. Beck
- Paul Slovic
- Ove D. Ditlevsen
- Nicolas Chopin
- Dmitri Kavetski
- John K. Kruschke
- Hakon Kile
- Arnaud Doucet
Who trusts Daniel Straub overall
- Iason Papaioannou
- Sohag Kabir
- Z. Cao
- Kai Cheng
- Yiannis Papadopoulos
- Shuo Zheng
- Dianqing Li
- Zhenzhou Lu
- Felipe Uribe
Papers from Daniel Straub's perspective
Ordered by how strongly the researchers Daniel Straub trusts endorse each paper. Same corpus, a different order for every researcher.
- Simulation and the Monte Carlo method
- A tutorial on adaptive MCMC
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Bayesian data analysis.
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Sequential Monte Carlo Methods in Practice
- Regression and Classification Using Gaussian Process Priors
- Bayesian calibration of computer models
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
- Reliability updating with equality information (2011) — 145 citations
- Combination line sampling for structural reliability analysis (2021) — 87 citations
- Reliability sensitivity estimation with sequential importance sampling (2018) — 104 citations
- A framework for quantifying the value of vibration-based structural health monitoring (2022) — 104 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
- Bayesian network modeling of correlated random variables drawn from a Gaussian random field (2011) — 60 citations
- Generic Approaches to Risk Based Inspection Planning for Steel Structures (2004) — 141 citations