[redirect url='http://wp.combine.se/bayesian-regression-using-mcmc/' sec='0'] Introduction Bayesian Regression has traditionally been very difficult to work with since analytical solutions are only possible for simple problems. Hence, the frequentist method called "least-squares regression" has been dominant for a long time. Bayesian approaches, however, has the advantage of working with probability distributions such that the estimated parameters of a … Continue reading Bayesian Regression Using MCMC

# Tag: bayesian regression

# Introduction to Regression Using Gaussian Processes

Introduction When trying to describe data using a function you often know something about the process generating the data a priori. When you do not completely understand why the data looks like it does but want to try to describe it any way you can start trying different things ad hoc. A couple of years … Continue reading Introduction to Regression Using Gaussian Processes

# Introduction to Regression Using Gaussian Processes

Introduction When trying to describe data using a function you often know something about the process generating the data a priori. When you do not completely understand why the data looks like it does but want to try to describe it any way you can start trying different things ad hoc. A couple of years … Continue reading Introduction to Regression Using Gaussian Processes