This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
Abstract: An analytical derivation of the EMG signal’s amplitude probability density function (EMG PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of muscle ...
Among companies related to the artificial intelligence boom, information technology specialist Hewlett Packard Enterprise (NYSE: HPE) isn't exactly the first name that comes to mind. That's mainly ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...
dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...
The complementary cumulative distribution function (CCDF) is an important method for analyzing power levels statistically. It involves plotting the probability of encountering different crest factors ...
Calculating the likelihood is a fundamental aspect of statistics and probability theory. It allows us to measure how probable a given set of data is, assuming a specific model or hypothesis.
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