lasso

Hi all, While working on the statistics for my thesis, I became confused while building up my model. I am currently working on a forecasting model with the use of a LASSO regression. The model is build as follows: the unemployment rate is the dependent variable and as exogenous variables I...

I wonder if anyone can comment on if the following modelling strategy is valid please? I have a 200 patient survival data set (actually 2 data sets: 40 events and 160 events) and 100,000 ish candidate predictors. I want to build a prediction model so I plan to use LASSO and elastic net (with...

Hey everyone, I am making an R project, and I have computed the models using all the methods we've studied in the lectures (particularly Lasso and Forward stepwise selection). In the conclusion, I have to assess which is the most suitable specification model. Could you help me writing...

I've been helping a colleague with his research project. He is looking at the trustworthiness of profile texts. He is analyzing text entries using the LIWC tool, which generates around 90 dimensions based on text input (positive/negative affect, pronoun use, etc.). Most of it on the ratio or...

Hi, I am looking at a data set of 45 continuous IV and 1 DV, trying to find an acceptable regression model. I tried the lasso with cross-validation and ended up with about 10 non-zero coefficients in the best model. However, when I ran the sanity test of building the OLS model with the 10...

Is it reasonable to average LASSO coefficients from repeated reshuffling of training/test sets? Suppose I randomly divide my data into testing & training sets, then within the training set use 10-fold cross-validation to choose an optimal λ, then refit on full training data and record the...

I am trying to use LASSO for variable selection, on a balanced panel. I have a total of 14 predictors, and would like to reduce this variable space. The panel is comprised of n dependent variables, each having t observations. I am planning to run LASSO on the cross-section for each time t...

I am trying to use LASSO for variable selection, on a balanced panel. I have a total of 14 predictors, and would like to reduce this variable space. The panel is comprised of n dependent variables, each having t observations. I am planning to run LASSO on the cross-section for each time t...

I am looking to use LASSO for variable selection, in the context of an economic factor model. My response variable is a balanced panel dataset, with n securities, each having t observations. My independent variables - potential predictors - are k economic variables: each of the k variables is...