论文检索
收录说明
- 收录范围
- 保留计量方法研究、相关统计基础，以及实质涉及计量方法的应用、教程、比较和综述。书评、刊务及明确无关内容不公开；身份或相关性证据不足的记录保留待核，补充可靠材料后可重新判断。
- 当前期刊来源见下方官网链接及期刊目录。综合经济学与金融期刊逐篇筛查计量方向，证据不足时暂不公开。正刊、在线优先论文和已核实接收稿合并展示；按标题、可靠摘要、目录及身份匹配的出版社 JEL 分类核验相关性；计量类 JEL 与摘要相互印证，无 JEL 不直接排除。历史回补以可取得的注册题录和目录为准，不等于覆盖全部纸本。
- 期刊官网
- Econometrica ↗QE ↗JoE ↗ET ↗JAE ↗JBES ↗ReStud ↗JPE ↗REStat ↗EctJ ↗JF ↗JFE ↗JASA ↗JRSS B ↗Annals of Statistics ↗Biometrika ↗
- 日期与排序
- 默认按最近发表排序：正刊使用刊期，待刊使用上线日期；缺少上线日期时，排序参考登记或首次收录时间，并在卡片注明。更多筛选可选择出版状态和日期口径；卷期依据出版社元数据，不因待刊时间较长而推定已编入正刊。仅有月份或年份时，日期区间相交也会纳入。
- 分类与引用
- 领域和方法依据题名、摘要初步分类，可人工修正；分类不代表论文质量。引用数采用 OpenAlex 单条关联记录，不合计版本。
- 更新与 AI 解读
- 正常题录、可靠摘要与引用同步继续；日、周、月简报按核实的发表与修订日期汇总，历史补录保留在文献库。AI 解读依据可靠摘要或已核实原文片段，已有解读保留供阅读参考；缺少可靠材料的条目保持待解读，浏览页面不会触发生成。
日期精度：到日 3 篇 · 到月 2 篇 · 到年 1 篇
Fitting time series models to nonstationary processes
非平稳过程的时间序列模型拟合
A general minimum distance estimation procedure is presented for nonstationary time series models that have an evolutionary spectral representation. The asymptotic properties of the estimate are derived under the assumption of possible model misspecification. For autoregressive processes with time varying coefficients, the estimate is compared to the least squares estimate. Furthermore, the behavior of estimates is explained when a stationary model is fitted to a…
A frequency domain bootstrap for ratio statistics in time series analysis
时间序列比值统计量的频域自助法
The asymptotic properties of the bootstrap in the frequency domain based on Studentized periodogram ordinates are studied. It is proved that this bootstrap approximation is valid for ratio statistics such as autocorrelations. By using Edgeworth expansions it is shown that the bootstrap approximation even outperforms the normal approximation. The results carry over to Whittle estimates. In a simulation study the behavior of the bootstrap is studied for empirical correlations…
Asymptotically optimal estimation in misspecified time series models
误设时间序列模型中的渐近最优估计
A concept of asymptotically efficient estimation is presented when a misspecified parametric time series model is fitted to a stationary process. Efficiency of several minimum distance estimates is proved and the behavior of the Gaussian maximum likelihood estimate is studied. Furthermore, the behavior of estimates that minimize the h-step prediction error is discussed briefly. The paper answers to some extent the question what happens when a misspecified model is fitted to…
Edge Effects and Efficient Parameter Estimation for Stationary Random Fields
平稳随机场的边缘效应与有效参数估计
We consider the estimation of the parameters of a stationary random field on d-dimensional lattice by minimizing the classical Whittle approximation to the Gaussian log likelihood. If the usual biased sample covariances are used, the estimate is efficient only in one dimension. To remove this edge effect, we introduce data tapers and show that the resulting modified estimate is efficient also in two and three dimensions. This avoids the use of the unbiased sample covariances…
Edge effects and efficient parameter estimation for stationary random fields
平稳随机场参数有效估计中的边界效应
We consider the estimation of the parameters of a stationary random field on d-dimensional lattice by minimizing the classical Whittle approximation to the Gaussian log likelihood. If the usual biased sample covariances are used, the estimate is efficient only in one dimension. To remove this edge effect, we introduce data tapers and show that the resulting modified estimate is efficient also in two and three dimensions. This avoids the use of the unbiased sample covariances…