for issues related to linear regression modelling approach
Problem Synopsis: When attempting to use the scipy.optimize.fmin_bfgs minimization (optimization) function, the function throws a derphi0 = np.…
python-3.x scipy linear-algebra linear-regressionI use numpy.polyfit to get a linear regression: coeffs = np.polyfit(x, y, 1). What is the best way to …
numpy linear-regression standard-deviationI do not want main effect because it is collinear with a finer factor fixed effect, so it is annoying …
r regression linear-regression lm categorical-dataSuppose I have a set of returns and I want to compute its beta values versus different market indices. Let's …
excel-formula linear-regression powerbi daxI achieved simple single regression using math.net regression method like this: var xdata = new double[] { 10, 20, 30, 40, 50 }; var ydata = new double[] { 15, 20, 25, 55, 95 }; …
c# linear-regression math.net mathnet-numericsI'm trying to fit two kinds of Markov Switching Models to a time series of log-returns using the package MSwM …
r time-series linear-regression data-fitting markov-modelsI am trying to fit a regression model in R, after figuring out the main predictors, I want to check …
r linear-regression interactionI'm a newbie to R, coming from the Stata world. I've just run a linear model (with approx 100 variables, each …
r stata linear-regression forecasting standard-errorI am trying to build a dynamic regression model and so far I did it with the dynlm package. Basically …
r dynamic linear-regression predictI performed a MCMCglmm (MCMCglmm package). Here is the summary of this model Iterations = 3001:12991 Thinning interval = 10 Sample size = 1000 DIC: 211.0108 G-structure: ~…
r statistics linear-regression bayesian