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In the dev version of scipy.optimize, [least_squares](http://scipy.github.io/devdocs/generated/scipy.optimize.least_squares.html) allows for outlier-resistant nonlinear least-squares regression throug…
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I'm mechanical engineer migrated from python about 3 years ago. I'm really happy with golang, have speeded up my analyses 80-100x. I really like to promote golang in our community and most of the time…
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MWE:
```julia
using ModelingToolkit
using ModelingToolkit: getu
@variables t X(t) Y(t) XY(t)
@parameters kp kd k1 k2
D = Differential(t)
eqs = [
0 ~ kp - kd*X - k1*X + k2*Y,
0 ~ k1*…
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## ❓ Questions and Help
I'm currently using Ceres with the following options:
```cpp
linear_solver_type = ceres::DENSE_NORMAL_CHOLESKY;
minimizer_type = TRUST_REGION;
trust_region_strategy_type =…
Muon2 updated
2 weeks ago
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related issue and application to penalized estimation #5350 https://github.com/statsmodels/statsmodels/issues/5350#issuecomment-2020522086
There are many smooth approximations in the literature for…
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(while looking at Stata's linktest #1479 documentation and our diagnostics)
two issues
- weights in regression diagnostic auxiliary regression
- I guess the OLS based auxiliary regression ar…
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(Just a vague idea about how this can be incorporated in a generic way.)
Kerby uses parameter classes in several model, mainly to handle various transformations.
mlefit uses parameter classes includi…
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The explorer shows the current total number of reputables, which is the unique set of accounts with nonzero reputation (over the past 5 cycles)
This metric is dependent on the reputation lifetime, so…
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Hello Team,
I am just curious if there is a Special "non-linear" generalized Regression method in Math.Net so user can do fits with any nonlinear function / model?
In the examples I saw Fit.Lin…
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The function `linear_rainbow` has an option to either order cases by a certain reference case order, or alternatively to calculate Mahalanobis distances to the center of the data and then build the ce…