We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
Abstract. In engineering applications, we need to make decisions under uncertainty. Traditionally, in engineering, statistical methods are used, methods assuming that we know the p...
Vladik Kreinovich, Jan Beck, Carlos Ferregut, Arac...
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
In this paper the behavior of the upcoming MAC protocol for wireless LANs IEEE 802.11e is investigated. Based on the results, we propose an enhancement for Hybrid Coordination Fun...
Balasubramanian Appiah Venkatakrishnan, S. Selvake...
Background: Single Nucleotide Polymorphism (SNP) analysis only captures a small proportion of associated genetic variants in Genome-Wide Association Studies (GWAS) partly due to s...
Jingyuan Zhao, Simone Gupta, Mark Seielstad, Jianj...