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Hello Dr. Phillippo,
Thanks again for your help with addressing issue #43 (where aux_regression terms were not always included in the predict function). I'd like to report a similar issue with rela…
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Great work everyone. I'm planning on implementing the Weibull distribution for pytorch anyways, is there any interest in merging this here?
I just wanted to give a heads up if someone else is thinki…
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Baetschmann, Gregori, and Rainer Winkelmann. 2013. “Modeling Zero-Inflated Count Data When Exposure Varies: With an Application to Tumor Counts.” Biometrical Journal 55 (5): 679–86. https://doi.org/10…
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There are certain conditions that can cause the Weibull.Estimate() method to enter an infinite loop. This seems to occur with relatively large data sets that contain one or more outliers. It can be re…
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We could add some more distributions, at least:
* t-distribution (`"student"`)
* Weibull (`"weibull"`)
Maybe also more multivariate distributions?
* multivariate t-distribution (`"mvstude…
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I think it is awesome that gbm supports survival analysis and I was wondering if it would be easy enough to add support for survival regression.
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Hello Paul, would you be open to add the Weibull distribution with proportional-hazards parametrisation to the list of native families?
Code to define Weibull PH as a custom response distribution …
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There seems to be an issue with log-likelihood for discrete Weibull distribution with censored data (u=0).
According to equation (2.7) in Proposition 2.26 of your great thesis, the likelihood in this…
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Before you draw the 'energy.png', you analysis the unknown and known by using Fit_Weibull_3P.
wb_unk = Fit_Weibull_3P(failures=unk, show_probability_plot=False, print_results=False)
wb_known = Fit…
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Every year, vehicle retirements could be based on a Weibull curve, rather than based on retiring an entire cohort of vehicles at the end of that cohort's lifetime.
This might take substantial rewor…