Binomial conditionally nonlinear autoregressive model of discrete time series and its probabilistic and statistical properties

A new binomial conditionally nonlinear autoregressive model BiCNAR is proposed for discrete time series. An efficient computationally fast statistical FB-estimator is constructed for the parameter of BiCNAR model. Recursive algorithm based on the FB-estimator is proposed for the BiCNAR model extension.