The Hurst parameter is a dimensionless factor used to estimate the presence and magnitude of the self-similarity property. It is a measure not only for self-similarity, but also for the statistical properties that self-similarity entails (see below). Estimations of the Hurst parameter are useful...
A system and method for factor-based measuring of similarity between financial instruments are described. The method including selecting a model for factor intersection calculation of a two or more of financial instruments, the model including a plurality of factors; determining factor exposure values ...
Comparison of free software platforms for the calculation of the 90% confidence interval of f2 similarity factor by bootstrap analysis 来自 Semantic Scholar 喜欢 0 阅读量: 205 作者:L Noce,L Gwaza,V Mangas-Sanjuan,AG Arieta 摘要: Introduction: The calculation of the 90% confidence interval of...
The one-way ANOVA analysis of variance with Tukey’s post hoc test among multiple groups and Student’s t-test was used for statistical significance calculation. Statistical analyses were performed using SPSS statistical software (version 22.0) and GraphPad Prism 8.0.1. All P values were two-...
The recursive calculation yields the equality S = ∑ k = 0 ∞ c k ( P k ) T D P k 𝑆=∑∞𝑘=0𝑐𝑘(𝑃𝑘)𝑇𝐷𝑃𝑘, meaning that S is the CPSK. Adamic-Adar Coefficient: Given the adjacency matrix A = ( a i j ) 𝐴=(𝑎𝑖𝑗), the similarity matrix S...
The calculation of similarities has relied on traditional distance and vector similarity measures such as Pearson’s correlation and cosine which, however, have been seldom questioned in terms of their effectiveness in the recommendation problem domain. This paper presents a new heuristic similarity ...
Local autocorrelation calculation To compute the extent to which a signature can explain the variation in a cell-to-cell similarity map, we make use of the Geary’sCstatistic for local autocorrelation. This statistic is defined as $$C=\frac{(N-1)\sum _{i}\sum _{j}{w}_{ij}{({x}_...
calculation can also incorporate data based on the history of other users with comparable empirical data, thereby enabling a feedback system that allows the system to “learn” how to optimize the calculation. This process can also involve developing and utilizing a “neural network” or “...
Equation 1 is an exemplary calculation/determination of a similarity metric similarityX,jcalculated/determined as a linear sum of parameter-specific similarity factors applied to a pair of healthcare feature vectors (the input patient vector X and a population patient vector j) and normalized to the...
gz'=Φ0+∑j=1nΦjzj'In the above formula, n represents the number of input features, z' represents whether the corresponding feature value participates in the calculation of the joint vector (1 or 0), Фj is the Sharpey value of each feature, and Ф0 is a constant correction factor....