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Non-parametric calibration methods take a probability distribution as input and apply recalibration in terms of quantiles on the cumulative (CDF). This leads to a recalibrated probability distribution ...
You could sift through websites, but some Python code and a little linear regression could make the job easier. ...
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
A Poisson distribution is a statistical distribution showing the likely number of times that an event will occur within a specified period of time.
Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...
This paper considers the problem of estimating the cumulative distribution function and probability density function of a random variable using data quantized by uniform and non-uniform quantizers. A ...
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-python ...