7
votes
Nearest-neighbor density estimation in Mathematica
Why not use the "Adaptive" option for SmoothKernelDistribution? This is in the same spirit as having a kernel density ...
6
votes
Nearest-neighbor density estimation in Mathematica
Here I'm first showing the (standard) nearest neighbor approach along with the generalized nearest neighbor approach (which is related to the nearest neighbor approach but uses kernels). The ...
6
votes
Accepted
One more incorrect result of CDF
The issue seems to be with DiscreteUniformDistribution when one of the parameters is an integer and the other an undefined variable. The following all give the ...
3
votes
Leading significant digits
To get the areas of the triangles we may define a function:
a[0]=100;
a[n_]= a[0] (3/4)^n;
To get the first digits, we may use the function "RealDigits". ...
1
vote
Optimization of a Markov сhain with symbolic transition rate
I don't know what you want to do honestly.
if you want everything to be symbolic,how about using characteristic function?
Consider a conditional random walk.
Let's say that if the value of i is ...
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