D. Imparato
Statistics and Probability · 2010
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 13 citations into it; #4,848 of 12,932 by trust here, #7,165 by citations
Whom D. Imparato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts D. Imparato overall
Papers from D. Imparato's perspective
Ordered by how strongly the researchers D. Imparato trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Bayesian analysis of binary and polychotomous response data
- Minimum variance importance sampling via Population Monte Carlo
- Generalized autoregressive conditional heteroskedasticity
- Hybrid Monte Carlo
- Metropolis Methods, Gaussian Proposals and Antithetic Variables
- Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications
- ANALYSIS OF A NONREVERSIBLE MARKOV CHAIN SAMPLER
- Zero-Variance Principle for Monte Carlo Algorithms
Their papers
- Zero variance Markov chain Monte Carlo for Bayesian estimators (2010) — 97 citations