In this manuscript, we develop the estimation approach for modeling intensive longitudinal data in the state-space framework while accounting for the presence of ordinal measurements such as Likert scale-type items. Our motivating example of a study design that produces intensive longitudinal data is ...
Data governance is, first and foremost, a data management function to ensure the quality, integrity, security, and usability of the data collected by an organization. Data governance needs to be in place from the time a factoid of data is collected or generated until the point in time at ...
Novel X-ray methods are transforming the study of the functional dynamics of biomolecules. Key to this revolution is detection of often subtle conformational changes from diffraction data. Diffraction data contain patterns of bright spots known as reflec
This leaves 3 colliders that do not exhibit adjacency (which we now know are termed v-structures) that in theory can be detected in the data using dependency tests … All V-Structures in the Example DAG, Image by Author It has already been shown in the Python co...
38 Peripheral T cells proliferate in response to self-antigens in lymphopenic hosts, but proliferation toward these same antigens is prevented when T-cell numbers are within reference limits. This process, termed homeostatic peripheral expansion, augments peripheral T-cell number and limits repertoire...
There is robust experimental evidence for contagious yawning, yet observational studies of naturalistic behavior have been fewer. Without data from real-world behavior, researchers have questioned the existence of contagious yawning and made assumptions about some parameters (e.g., the duration of the ...
Data Transfer Bandwidth refers to the maximum rate at which data can be transmitted over a communication link, determined by factors such as clock rate, signaling overhead, and control overhead. It is influenced by the physical and protocol parameters of the communication system. ...
only then will it be normalized to 0. If it is below the mean value, it will be considered to be a negative number, and if it is above the mean value it will be termed as a positive number. The number of the negative and positives are determined by the standard deviation of the or...
Feature selection is commonly employed for identifying collectively-predictive biomarkers and biosignatures; it facilitates the construction of small statistical models that are easier to verify, visualize, and comprehend while providing insight to the h
A graph data structure mainly represents a network connecting various points. These points are termed as vertices and the links connecting these vertices are called ‘Edges’. So a graph g is defined as a set of vertices V and edges E that connect these vertices. ...