搜索结果: 1-9 共查到“知识库 环境与生态统计学其他学科”相关记录9条 . 查询时间(2.431 秒)
中国科学院城市环境研究所等构建出冷室气体响应边界变点模型(图)
冷室气体 应边界变点 关键变量关系模型
2022/9/21
中南林业科技大学生态文化与环境政策研究所成立于2017年,研究所挂靠在中南林业科技大学马克思主义学院,研究所负责人为傅晓华教授。
An estimation of distribution algorithm with adaptive Gibbs sampling for unconstrained global optimization
Estimation of distribution algorithms Evolutionary algorithms
2011/7/19
In this paper is proposed a new heuristic approach belonging to the field of evolutionary Estimation of Distribution Algorithms (EDAs). EDAs builds a probability model and a set of solutions is sample...
Statistical methods of SNP data analysis with applications
Genetic data statistical analysis multifactor dimensiona-lity reduction
2011/7/7
Various statistical methods important for genetic analysis are considered and developed. Namely, we concentrate on the multifactor dimensionality reduction, logic regression, random forests and stocha...
Optimal Rate Scheduling via Utility-Maximization for J-User MIMO Markov Fading Wireless Channels with Cooperation
Processor-SharingQueues Random Environment Multi-Input Multi-Output
2011/7/7
We design a dynamic rate scheduling policy of Markov type via the solution (a social optimal Nash equilibrium point) to a utility-maximization problem over a randomly evolving capacity set for a class...
Markov Chain Monte Carlo Based on Deterministic Transformations
Geostatistics High dimension Inverse transfromation Jacobian
2011/7/6
In this article we propose a novel MCMC method based on deterministic transformations T : X x D --> X where X is the state-space and D is some set which may or may not be a subset of X. We refer to ou...
Nonasymptotic bounds on the estimation error of MCMC algorithms
Mean square error Computable bounds
2011/7/6
We address the problem of upper bounding the mean square error of MCMC estimators. Our analysis is non-asymptotic.
Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors
Bayesian Sparsity-Path-Analysis Genetic Association Signal
2011/7/5
We explore the use of generalized t priors on regression coefficients to help understand the nature of association signal within "hit regions" of genome-wide association studies.
Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology
Microarrays, reproducibility forensic bioinformatics
2010/10/19
High-throughput biological assays such as microarrays let us ask very detailed questions about how diseases operate, and promise to let us personalize therapy. Data processing, however, is often not d...