PARTICLE FILTERING WITH SEQUENTIAL PARAMETER LEARNING FOR NONLINEAR BOLD fMRI SIGNALS [0.03%]
基于顺序参数学习的粒子滤波及其在非线性Bold fMRI信号处理中的应用
Jing Xia,Michelle Yongmei Wang
Jing Xia
Analyzing the blood oxygenation level dependent (BOLD) effect in the functional magnetic resonance imaging (fMRI) is typically based on recent ground-breaking time series analysis techniques. This work represents a significant improvement o...
Modeling the Dynamics of the U.S. Healthcare Expenditure Using a Hyperbolastic Function [0.03%]
美国医疗保健支出的双曲弹道函数模型及其动力学分析
J T Guemmegne,J-J Kengwoung-Keumo,M A Tabatabai et al.
J T Guemmegne et al.
In this paper, we investigate the dynamics of the U.S. national healthcare expenditures from 1960 to 2011. The data were obtained from the U.S. Department of Health and Human Services, Center for Medicare and Medicaid Services. The analytic...
Christopher H Morrell,Veena Shetty,Terry Phillips et al.
Christopher H Morrell et al.
A study was conducted of the relationships among neuroprotective factors and cytokines in brain tissue of mice at different ages that were examined on the effect of dietary restriction on protection after experimentally induced brain stroke...
Maximum likelihood estimation with binary-data regression models: small-sample and large-sample features [0.03%]
二值响应模型的最大似然估计：小样本与大样本性质
Roland C Deutsch,John M Grego,Brian Habing et al.
Roland C Deutsch et al.
Many inferential procedures for generalized linear models rely on the asymptotic normality of the maximum likelihood estimator (MLE). Fahrmeir & Kaufmann (1985, Ann. Stat., 13, 1) present mild conditions under which the MLEs in GLiMs are as...