The chapter highlights the Bayesian approach to statistical inference. It discusses asymptotic inference. The chapter also discusses nonparametric methods of statistical inference.ISHWAR V. BASAWAB.L.S. PRAKASA RAOStatistical Inference for Stochastic Processes
Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from research data and provides different ways to assess the robustness of research outputs. Latest Research and Revi...
Examination of the conflicting statistical methods currently used in scientific inference reveals an increasing awareness of the utility of likelihood. The concept of prior likelihood is introduced as a means of completing a scheme of inference which does not share the logical disadvantages of other ...
did not point out the specific criticisms of likelihood (and Bayesian) concepts that seem to dissuade most theoretical and applied statisticians from adopting them. As one whom Edwards particularly credits with having “analysed in depth … some attractive properties” of the likelihood...
受限统计推断方法(Constrained statistical inference-based methods):这类方法在统计分析中加入了一些先验知识或假设,以提高分析的准确性或效率。受限可以是指对参数的范围、分布形式或数据之间关系的假定等。这种方法尤其在数据量不足或有额外信息可用时...
Statistical Methods, Third Edition,provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach that emphasizes concepts and techniques for working ...
Part III FOUNDATIONS OF STATISTICAL INFERENCE WITH FUZZY DATA Statistical inference is based on stochastic models like probability distributions, parametric families of probability distributions, cumulative distribution functions, expectations, dependenc
We review Daniels' saddlepoint approximation to the distribution of the mean of a random sample, and the many aspects of second-order asymptotic inference that have been developed from it. These include Barndorff-Nielsen's approximation to the distribution of the maximum likelihood estimate, Bartlett...
Springer Texts in Statistics(共118册),这套丛书还有 《Statistical Models and Methods for Financial Markets》《Probability for Statisticians (Springer Texts in Statistics)》《Bayesian Core》《Introduction to Time Series and Forecasting》《Basics of Modern Mathematical Statistics: Exercises and Solutions (Spri...
Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters 2D visualisation of single-cell data is highly impacted by the hyperparameter setting of the 2D embedding method, such as t-SNE and UMAP. Here, authors develop a statistical met...