Zdravko I. Botev
Artificial Intelligence · 2010–2016
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #25,691 of 35,345 by trust here, #24,417 by citations
- Probabilistic & Bayesian Methods — 19 citations into it
- Statistics and Probability — 19 citations into it; #2,192 of 12,932 by trust here, #2,407 by citations
- Numerical Analysis — 7 citations into it; #1,475 of 3,586 by trust here, #1,448 by citations
- Statistical and Nonlinear Physics — 7 citations into it; #4,053 of 10,127 by trust here, #5,625 by citations
- Computational Theory and Mathematics — 6 citations into it; #8,891 of 12,182 by trust here, #7,142 by citations
- Finance — 6 citations into it
- Mathematical Optimization — 6 citations into it
Whom Zdravko I. Botev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan Genz
- Reuven Y. Rubinstein
- Peter S. Craig
- Dirk P. Kroese
- P. Deb
- Jim Albert
- Bernard Walter Silverman
- Yuhai Wu
- Frank Bretz
- David Bolin
Who trusts Zdravko I. Botev overall
- Joshua C. C. Chan
- A. Lewis
- C. Ramsey
- Gery Geenens
- Tingwu Wang
- Angelia L. Grant
- Heinrich Jiang
- Ping Yu
- D. Santhosh
- Greg McSwiggan
Papers from Zdravko I. Botev's perspective
Ordered by how strongly the researchers Zdravko I. Botev trusts endorse each paper. Same corpus, a different order for every researcher.
- Random number generation and Quasi-Monte Carlo methods
- Numerical Computation of Multivariate Normal Probabilities
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Statistical Learning Theory
- Comparison of Methods for the Computation of Multivariate t Probabilities
- The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
- Reinforcement Learning and Dynamic Programming Using Function Approximators
- Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
- The Art of Computer Programming, Volume II: Seminumerical Algorithms
- A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications
Their papers
- Chapter 3 – The Cross-Entropy Method for Optimization (2013) — 273 citations
- Kernel density estimation via diffusion (2010) — 1,539 citations
- Handbook of Monte Carlo Methods (2011) — 1,010 citations
- The normal law under linear restrictions: simulation and estimation via minimax tilting (2016) — 276 citations
- Why the Monte Carlo method is so important today (2014) — 709 citations
- The Generalized Cross Entropy Method, with Applications to Probability Density Estimation (2011) — 57 citations