How to predict when next event occurs based on previous events?
Aug 30, 2012 · Most raw statistical modelling techniques based on examining (say) time between adjacent events would have difficulty capturing these underlying influences. I would build a statistical …
what is the definition of "flexibility" of a method in Machine Learning ...
There's no rigor definition of method's flexibility. The aforementioned book says In that sense Least Squares is less flexible since it's a linear model. Kernel SVM, on contrary, doesn't have such …
sql - sqlmap is too slow - Stack Overflow
[15:20:32] [INFO] fetching database names [15:20:32] [INFO] fetching number of databases [15:20:32] [WARNING] time-based comparison needs larger statistical model. Making a few dummy requests, …
Statistical assumptions for Criterion benchmarks - Stack Overflow
Jun 27, 2025 · In my Rust codebase, I have a struct Model that is very complex. I want to benchmark running a simulation with said model for 1000 time steps. However, I am having a hard time finding …
Find p-value (significance) in scikit-learn LinearRegression
Sep 8, 2021 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression() lm.fit(x,y)
logistic regression - scikit learn: how to check coefficients ...
Aug 4, 2014 · Scikit-learn deliberately does not support statistical inference. If you want out-of-the-box coefficients significance tests (and much more), you can use Logit estimator from Statsmodels. This …
How to find probability distribution and parameters for real data?
To the best of my knowledge, there is no automatic way of obtaining the distribution type and parameters of a sample (as inferring the distribution of a sample is a statistical problem by itself).
How to make a statistical model with data from different locations ...
Nov 20, 2021 · How should we model the data? We suspect there is a relation between all of the variables.. Should the data be grouped by site, and then do a regression model and then compare to …
Python statsmodels OLS: how to save learned model to file
May 19, 2013 · I am trying to learn an ordinary least squares model using Python's statsmodels library, as described here. sm.OLS.fit() returns the learned model. Is there a way to save it to the file and …
How do I calculate statistical power on effect size of Cox regression ...
Oct 5, 2018 · A colleague (now left) produced a linear model power analysis in R as a placeholder for Cox regression. There are packages out there (pwr), but none deal with Cox regression. I need to do …