Mathematical Sciences Computing Research Environments

伯克利加州大学统计系将购买18台SUN Ultrasparc工作站，用于支持数学科学研究。 该设备将用于许多研究项目，包括：遗传学（特里速度）测试遗传位点的异质性，调查干扰的功率效应，估计重组分数，建模交叉干扰，数量性状位点的鉴定，疾病基因的定位，以及物种之间的系统发育关系的估计。Wavelet（大卫多诺霍）的研究包括基础追踪，时间频率信号分析和数字通信处理，生物和环境问题（约翰赖斯）离子通道记录分析，海洋测量分析和建模激素概况（大卫布里林格）分析神经细胞尖峰序列，哺乳动物潜水轨迹，气象场运动和地震风险分析。天体物理学（菲利普·斯塔克）模拟太阳的结构，卫星数据分析的算法。方法学（Leo Breiman）研究神经网络的结构，多个时间序列的预测，回归和分类中的稳定非参数高维预测，最近邻分类中使用分类变量，以及在工作站网络上并行CART。随机过程（大卫奥尔德斯）空间随机过程中的蒙特卡罗实验。 非正规实验设计

The Department of Statistics at the University of California at Berkeley will purchase 18 SUN Ultrasparc workstations which will be dedicated to the support of research in the mathematical sciences. The equipment will be used for many research projects, including: Genetics (Terry Speed) testing for genetic locus heterogeneity, investigating the power effects of interference, estimating recombination fractions, modeling crossover interference, identification of quantitative trait loci, location of disease genes, and estimation of phylogenetic relationships between species. Wavelets (David Donoho) research includes basis pursuit, time frequency signal analysis, and digital communications processing, Biological and Environmental Problems (John Rice) analysis of ion channel recordings, analysis of oceanographic measurements, and modeling hormonal profiles ( David Brillinger) analyzing nerve cell spike trains, trajectories of mammalian dives, motion of meteorological fields, and seismic risk analysis. Astrophysics(Philip Stark) modeling the structure of the sun, algorithms for the analysis of satellite data. Methodology (Leo Breiman) study of the structure of neural nets, prediction of multiple time series, stabilizing nonparametric high dimensional predictors in regression and classification, using categorical variables in nearest neighbor classification, and parallelizing CART over a workstation network. Stochastic Processes (David Aldous) Monte Carlo experiments in spatial stochastic processes. (Ching-Shui Cheng) nonregular experimental designs