A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

We introduce a differential-geometric structure for spectral density functions of discrete-time random processes. This is quite analogous to the Riemannian structure of information geometry, which is ...

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

This book concentrates on the topic of evaluation of Jacobians in some specific linear as well as nonlinear matrix transformations, in the real and complex cases, which are widely applied in the ...

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Note that the main anaconda repository lags PyPI in ...

Aerobic exercise, also known as cardio exercise, involves physical activity that raises your heart rate, strengthens your heart muscle, improves your lung function, and increases circulation and ...

Step 1: create an environment: $ conda create -n pyEOF python=3.7 $ conda activate pyEOF $ conda install -c conda-forge numpy pandas scipy scikit-learn rpy2 Step 2: install using pip: $ pip install ...