Archives for Bayesian statistics
Maximum Likelihood Estimation (MLE) is a probabilistic based approach to determine values for the parameters of the model. MLE is a widely used technique in machine learning, time series, panel data and discrete data.
traditional MMS are not much eligible to equip the hard data with prior knowledge. The simple models are defined with the parameters which are independent of each other. Bayesian MMMs can be eligible to deal with such hard data.
traditional MMS are not much eligible to equip the hard data with prior knowledge. The simple models are defined with the parameters which are independent of each other. Bayesian MMMs can be eligible to deal with such hard data.