Ohta M, Yamaguchi S, Katho Y (1986) Multivariate probability expression of quantized state variables for a nonstationary system and its application to an acoustic environment. J Sound Vib 104:465-482Ohta M, Yamaguchi S, Katho Y (1986) Multivariate probability expression of quantized state ...
Adj.1.multivariate- pertaining to any procedure involving two or more variables statistics- a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters ...
This paper deals with variable selection in multivariate linear regression model when the data are observations on a spatial domain being a grid of sites in $\mathbb{Z}^d$ with $d\geqslant 2$. We use a criterion that allows to characterize the subset of relevant variables as depending on ...
Multivariate Time Series refers to a type of data that consists of multiple variables recorded over time, where each variable can have different sampling frequencies, varying numbers of measurements, and different periodicities. It is commonly used in various fields such as industrial automation, health...
Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into ac... A Tucker,X Liu - 《Intelligent Data Analysis》 被引量: 20发表: 2004年 Classification of multivariate time series using supervised locally li...
where H(Xi∣Xi) refers to the residual entropy50: the uncertainty intrinsic to the the ith element of X that is not resolved by any other variable, or collection of variables, in X. The difference between the joint entropy and the sum of the residual entropies is all the entropy that ...
When aFill to Limitconstraint is specified, the algorithm starts with a single cluster and will split clusters and solve until each of the clusters are below theFill to Limitvalue, taking into account all of the variables with each split. The splitting will stop once the constraint is ...
11–13). The average absolute cross-correlation does not detect a signal on average, but all other indicators have a high probability of detecting the upcoming shift (Supplementary Fig. 13). The high performances in these distributions correspond to situations where all or most variables that are...
Aside from identifying candidate HMNS regions that show crossmodal, action-specific activity patterns, it is important to characterise the nature of the representations in these regions and their relationship to psychological variables. One organising principle for describing an action distinguishes between...
given the importance and interest in repurposing and developing therapeutics to improve healthy aging (for example, ongoing clinical trials evaluating the potential of metformin18), and because genetic evidence supporting candidate compounds entering clinical trials increases the probability of clinical success...