Stata embraces Bayesian statistics
Stata 14 has just been released. The new and big thing with version 14 is the introduction of Bayesian Statistics. A wide variety of new models can now be estimated...continue reading.
Stata 14 has just been released. The new and big thing with version 14 is the introduction of Bayesian Statistics. A wide variety of new models can now be estimated...continue reading.
The example below shows how to estimate a simple univariate Poisson time series model with the tscount package. While the model estimation is straightforward and yeilds very similar parameter estimates...continue reading.
Modeling the time series of count outcome is of interest in the operational risk while forecasting the frequency of losses. Below is an example showing how to estimate a simple...continue reading.
R is great when it works. Not so much, when it doesn’t. Specifically, this becomes a concern when the packages are not fully illustrated in the accompanied help documentation, and...continue reading.
pkgs <- c(‘sas7bdat’, ‘betareg’, ‘lmtest’) lapply(pkgs, require, character.only = T) df1 <- read.sas7bdat("lgd.sas7bdat") df2 <- df1[which(df1$y < 1), ] xvar <- paste("x", 1:7, sep = ”, collapse = " +...continue reading.
In econometrics, generalized method of moments (GMM) is one estimation methodology that can be used to calculate instrumental variable (IV) estimates. Performing this calculation in R, for a linear IV...continue reading.
Earlier this weekend (Dec. 7, 2013), mnlogit was released on CRAN by Wang Zhiyu and Asad Hasan ([email protected]) claiming that mnlogit uses “parallel C++ library to achieve fast computation of Hessian matrices”....continue reading.