How can I do a maximum likelihood regression using scipy.optimize.minimize? I specifically want to use the minimize function here, because I have a complex model and need to add some constraints. I...

I'm using the GROWTH (or LINEST or TREND or LOGEST, all make the same trouble) function in Excel 2003. But there is a problem that if some data is missing, the function refuses to give result: You...

Is it possible to do regressions in R using a panel data set with a binary dependent variable? I am familiar with using glm for logit and probit and plm for panel data, but am not sure how to combi...

I have some time series data and I want to calculate a groupwise rolling regression of the last n days in Pandas and store the slope of that regression in a new column. I searched the older questi...

Has anyone tried implementing beta transformed regression python? It is used to model values that lie between 0 and 1 and has a distribution with heteroskedasticity ineherently present. Essentially...

When we have a high degree linear polynomial that is used to fit a set of points in a linear regression setup, to prevent overfitting, we use regularization, and we include a lambda parameter in th...

rich.main3 is a linear model in R. I understand the rest of the elements of the list but I don't get what qraux is. The documentation states that it is a vector of length ncol(x) which contains...

My data: State N Var1 Var2 Alabama 23 54 42 Alaska 4 53 53 Arizona 53 75 65 Var1 and Var2 are aggregated percentage values at the state level. N is the number of participants in each state. I wo...

I am trying to write a multiple linear regression model from scratch to predict the key factors contributing to number of views of a song on Facebook. About each song we collect this information, i...

I have some data that I want to fit so I can make some estimations for the value of a physical parameter given a certain temperature. I used numpy.polyfit for a quadratic model, but the fit isn't ...

Im running a panel regression (randon effects) and i have several regressor candidates. X.panel3.form = as.formula(c("value ~ ",paste(X.panel3.cols,collapse="+"))) > X.panel3.form value ~ SMB...

I have trained an XGBoostRegressor model. When I have to use this trained model for predicting for a new input, the predict() function throws a feature_names mismatch error, although the input feat...

Is there an existing function to estimate fixed effect (one-way or two-way) from Pandas or Statsmodels. There used to be a function in Statsmodels but it seems discontinued. And in Pandas, there i...

I am using scikit-learn's Random Forest Regressor to fit a random forest regressor on a dataset. Is it possible to interpret the output in a format where I can then implement the model fit without ...

How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression() lm.fit(x,y)

In R stepwise forward regression, I specify a minimal model and a set of variables to add (or not to add): min.model = lm(y ~ 1) fwd.model = step(min.model, direction='forward', scope=(~ x1 + x2 +...

Problem context Using scikit-learn with Python, I'm trying to fit a quadratic polynomial curve to a set of data, so that the model would be of the form y = a2x^2 + a1x + a0 and the an coefficients ...

I haven't been able to find an answer to this question, largely because googling anything with a standalone letter (like "I") causes issues. What does the "I" do in a model like this? data(rock)...

I am dealing with a Regression problem and I used StackingRegressor to train data and then make prediction on test set. For model explainability purpose, I used SHAP as follows: import xgboost from...

This paper https://arxiv.org/pdf/1703.10757.pdf disucces using Regression Activation Mapping (RAM) - instead of Class Activation Mapping (CAM). There are several articles describing how to implemen...

How can one use cross_val_score for regression? The default scoring seems to be accuracy, which is not very meaningful for regression. Supposedly I would like to use mean squared error, is it possi...

I have the following data: >>> x array([ 3.08, 3.1 , 3.12, 3.14, 3.16, 3.18, 3.2 , 3.22, 3.24, 3.26, 3.28, 3.3 , 3.32, 3.34, 3.36, 3.38, 3.4 , 3.42, 3.44, 3.46, 3.48, 3.5 , 3.52, 3.54, 3...

I have a dataframe where I am trying to run the statsmodel.api OLS regression. It is printing out the summary. But when I am using the predict() function, it is giving me an error - shapes (75,...

I am running the following (truncated) code using glmnet in R # do a lot of things to create the design matrix called x.design > glmnet(x.design, y, thresh=1e-11) where x.design is a n x p d...

I am trying to predict the admit variable with predictors such as gre,gpa and ranks. But the prediction accuracy is very low (0.66).The dataset is given below. https://gist.github.com/abyalias/3de8...