J. Hurtado
Statistics and Probability · 2004–2018
A researcher in the Science corpus: 8 papers; trusts 38 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 70 citations into it; #3,119 of 12,932 by trust here, #5,126 by citations
- Civil and Structural Engineering — 37 citations into it; #896 of 6,160 by trust here, #2,464 by citations
- Computational Theory and Mathematics — 27 citations into it
- Mechanics of Materials — 19 citations into it; #1,623 of 6,291 by trust here, #1,992 by citations
- Control and Systems Engineering — 13 citations into it
- Management Science and Operations Research — 13 citations into it
- Artificial Intelligence — 9 citations into it
- Scaling & Learning Theory — 7 citations into it
Whom J. Hurtado trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaoping Du
- Zhiping P. Qiu
- Bernd Möller
- Roger B. Nelsen
- Jia Guo
- Hao Zhang
- Michael Beer
- David Moens
- Diego A. Alvarez
- Vladimir Naumovich Vapni
Who trusts J. Hurtado overall
- Diego A. Alvarez
- Marcos A. Valdebenito
- Manuel Chiachio
- Lei Wang
- Gerhart I. Schuëller
- Juan Chiachio
- Felipe Uribe
- Julien Bect
- Xiaojun Wang
- G. Rus
Papers from J. Hurtado's perspective
Ordered by how strongly the researchers J. Hurtado trusts endorse each paper. Same corpus, a different order for every researcher.
- Anti-optimisation of uncertain structures using interval analysis
- Constructing Probability Boxes and Dempster-Shafer Structures
- ANALYSIS OF MECHANICAL SYSTEMS USING INTERVAL COMPUTATIONS APPLIED TO FINITE ELEMENT METHODS
- Assessing small failure probabilities by combined subset simulation and Support Vector Machines
- The encounter of interval and probabilistic approaches to structural reliability at the design point
- The role of the design point for calculating failure probabilities in view of dimensionality and structural nonlinearities
- Geometric insight into the challenges of solving high-dimensional reliability problems
- Convex models and interval analysis method to predict the effect of uncertain-but-bounded parameters on the buckling of composite structures
- Reliability sensitivity analysis with random and interval variables
- Methods of structural safety
Their papers
- Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis (2007) — 144 citations
- The encounter of interval and probabilistic approaches to structural reliability at the design point (2012) — 51 citations
- An efficient method for the estimation of structural reliability intervals with random sets, dependence modeling and uncertain inputs (2014) — 46 citations
- Fuzzy structural analysis based on fundamental reliability concepts (2012) — 47 citations
- Estimation of the lower and upper bounds on the probability of failure using subset simulation and random set theory (2018) — 81 citations
- Determination of the critical size of a statistical representative volume element (SRVE) for carbon reinforced polymers (2006) — 305 citations
- Random models versus periodic models for fibre reinforced composites (2006) — 219 citations
- Structural Reliability: Statistical Learning Perspectives (2004) — 92 citations