A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics

Summary.  To help to design vaccines for acquired immune deficiency syndrome that protect broadly against many genetic variants of the human immunodeficiency virus, the mutation rates at 118 positions in HIV amino-acid sequences of subtype C versus those of subtype B were compared. The false discovery rate (FDR) multiple-comparisons procedure can be used to determine statistical significance. When the test statistics have discrete distributions, the FDR procedure can be made more powerful by a simple modification. The paper develops a modified FDR procedure for discrete data and applies it to the human immunodeficiency virus data. The new procedure detects 15 positions with significantly different mutation rates compared with 11 that are detected by the original FDR method. Simulations delineate conditions under which the modified FDR procedure confers large gains in power over the original technique. In general FDR adjustment methods can be improved for discrete data by incorporating the modification proposed.     

One parent or two? The intertwining of American marriage and fertility patterns

Marriage and fertility in the United States have become less firmly entwined as more women bear children without marrying and more couples with children divorce. Today a sizeable number of children are expected to spend a portion of their childhood in one-parent households. Despite the trends in illegitimacy and divorce, the actual effect of out-of-wedlock childbearing on the living arrangements of children has not been fully explicated. Using the National Survey of Family Growth Cycle III, this paper estimates the probability that children aged 0–13 in 1982 are living in two-parent households, controlling for their mothers' marital statuses at their births. We find that marital status at birth is an important predictor of household structure at later ages for both white and black populations; however, the childhood environment is actually quite elastic as women marry, divorce, remarry, and redivorce.     

台湾的金融改革及其启示

要本文在分析台湾实行金融改革动因的基础上，概述了台湾金融改革的内容，评述了台湾实行金融自由化的目的－建立区域金融中心的构想，并就这一改革给大陆带来的启示作出了思考。     

引导与干预:不同汇率制度中的央行行为分析

广义汇率目标区制包括介于浮动汇率制与固定汇率制之间的所有的汇率安排,中央银行外汇市场干预的不同,决定了汇率目标区制中类型的不同。在中央银行强有力的干预下,中心汇率和目标区公开是最具吸引力的一种目标区制,其根本特性就在于其汇率形成机制的内在稳定性,从而也是构建未来人民币汇率目标区制的较好选择。     

改进的OBS长度自适应门限组装算法

现有OBS长度自适应组装算法的突发数据长度门限的选择虽然随着业务流的变化而变化,克服了固定长度门限算法输出的突发数据的突发性,但仍然没有考虑业务流的自相似特性,因此不能有效降低输出突发数据的自相似程度和分组阻塞率。针对这一问题,该文提出了一种改进的OBS长度自适应门限组装算法,能根据到达的网络业务流的自相似特性自适应地调整长度门限值。仿真结果表明:在相同的调度算法下,更能降低业务流的自相似性,分组阻塞率降低一个数量级。     

四川省高等教育与区域经济发展关系研究

在对四川省经济发展和高等教育发展现状进行考查的基础上,从理论层次上论述二者发生关系的可能性,运用模糊统计方法得出四川省高等教育发展与经济发展呈强相关关系,并通过对四川省经济发展特点和劳动力人才市场供求状况的分析,指出四川省高等教育在适应经济发展过程中所存在的问题,进而提出针对性的发展对策,供四川省高等教育改革与发展决策参考。     

货币政策规则对国际资本流动与人民币汇率的时变影响——基于TVP-SV-VAR模型的实证检验

本文从货币政策理论出发,构建以稳定国际资本流动与人民币汇率的“多目标”货币政策规则理论模型,并采用1998年1月至2019年11月的月度数据,建立开放经济下的TVP-SV-VAR模型,实证检验不同货币政策规则下货币供应冲击、利率冲击对国际资本流动与人民币汇率的时变与动态影响。结果表明：(1)不同时间阶段,货币政策冲击对国际资本流动和人民币汇率的影响存在较强的时变特征。(2)等间隔脉冲响应表明,货币政策冲击对国际资本流动的短期影响效应要高于中长期,而对人民币汇率的影响却存在一定滞后性和扩散性,且价格型规则更有利于熨平外部冲击对国际资本流动与人民币汇率的影响。(3)时点脉冲响应表明,利率冲击对国际资本流动和人民币汇率的影响弱于货币供应冲击,且利率冲击对国际资本流动的影响回到稳态均衡的速度更快。总体来看,在调节国际资本流动和稳定人民币汇率的效果上,价格型规则优于数量型规则,我国央行货币政策选择应逐步从数量型规则向价格型规则转变。     

房价上涨对我国人口出生率的影响——基于省级面板数据的实证分析

人口数量和结构是影响我国可持续发展的关键因素,住房是人民群众安居乐业的刚需。近年来,我国人口出生率持续下降。为了实现经济高质量发展,缓解人口危机是当前亟待解决的重要问题。为了探究房价上涨对于我国人口出生率的影响,利用31个省级行政区2010—2019年的面板数据和加权最小二乘法进行实证分析,结果表明：房价上涨对人口出生率产生显著的负向影响,住房价格平均上涨1%将导致人口出生率下降0.13%~0.22%;房价上涨对人口出生率的影响在东部省份以挤出效应为主、在中西部省份是以财富效应为主。当前,通过遏制住房投资投机性需求、给予“刚需”人群购房贷款优惠、适量增加东部省份土地供给等手段,可以助力解决我国当前的人口问题。     

离婚审判中保护当事人探视子女权研究

保护离婚父母探视子女权利的法律制度在我国尚属空白。本文介绍了探视权的概念、特点并简要分析国外探视子女的法律规定及我国探视子女规定的历史和现状,并就设立探视制度、处理探视纠纷等提出具体立法建议     

Estimation of critical points in the mixture inverse Gaussian model

The maximum likelihood estimation for the critical points of the failure rate and the mean residual life function are presented in the case of mixture inverse Gaussian model. Several important data sets are analyzed from this point of view. For each of the data sets, Bootstrapping is used to construct confidence intervals of the critical points.