Lobry and Sueoka once described a method of graphical display of the influence of replication bias on leading versus lagging strands.
In our first set of experiments, we conducted systematic experimentation using synthetic data in order to test the performance of the proposed methods of group graphical Granger modeling, primarily against that of the non-group variants.
The objective of the present article is to demonstrate that leveraging group structure among the temporal variables can indeed help improve their accuracy as methods of Granger graphical modeling, and specifically provide a more effective method for analyzing causality among gene expressions.
We present a scheme for the parallelization of quantum Monte Carlo method on graphical processing units, focusing on variational Monte Carlo simulation of bosonic systems.
The consumer can develop his own data flows using programming-by-example method on graphical user interfaces of widgets.
That is, as a method of Granger graphical modeling, the relevant variable selection question is not whether an individual lagged variable is to be included in regression, but whether the lagged variables for a given time series as a group (i.e. the feature), are to be included.
Six types of methods, namely, graphical, empirical, method of moment, energy pattern factor, maximum likelihood and probability-weighted moments were used to estimate the parameters.
These indices are used to develop three transparent and accessible methods of analysis: (1) graphical representation; (2) percentile ranking; and (3) using a theoretical maximum as a proxy for capacity.
We conclude by highlighting the potential usefulness of graphical methods when sample size is too small for inferential statistical methods.
Particularly, we aimed at gathering information about the following aspects: Institutional provision for educators and learners; Changes in didactic methods (lecture style, accessibility of graphical representations, assessment, and group activities); and Perception of changes in didactic methods.
