Andrej Pázman
Statistics and Probability · 2001–2013
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it; #6,805 of 12,932 by trust here, #7,914 by citations
- Artificial Intelligence — 7 citations into it
- Computational Theory and Mathematics — 7 citations into it; #6,116 of 12,182 by trust here, #7,501 by citations
- Statistical Learning Theory — 7 citations into it
- Management Science and Operations Research — 6 citations into it; #5,605 of 11,946 by trust here, #7,638 by citations
Whom Andrej Pázman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Min Yang
- A. van der Vaart
- Eugene Demidenko
- Éric Walter
- Robert G. Bland
- Eric R. Ziegel
- Yurii E. Nesterov
- Emanuel Parzen
- Michel Kieffer
Who trusts Andrej Pázman overall
Papers from Andrej Pázman's perspective
Ordered by how strongly the researchers Andrej Pázman trusts endorse each paper. Same corpus, a different order for every researcher.
- On the de la Garza phenomenon
- Interval Analysis for Guaranteed Nonlinear Parameter Estimation
- Lectures on modern convex optimization - analysis, algorithms, and engineering applications
- Nonparametric Statistical Data Modeling
- Interior-point polynomial algorithms in convex programming
- Introductory Lectures on Convex Optimization - A Basic Course
- Efficient Nonparametric Testing and Estimation
- Improvements on removing nonoptimal support points in D-optimum design algorithms
- The Elements of Statistical Learning
- Stochastic approximation algorithms and applications
Their papers
- Measures for designs in experiments with correlated errors (2003) — 77 citations
- Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties (2013) — 108 citations
- Optimal design of experiments subject to correlated errors (2001) — 50 citations