‎Zero-inflated negative binomial model is an appropriate choice to count response variables with excessive zeros and over-dispersion simultaneously. ‎This paper addressed parameter estimation in the zero-inflated when there are many parameters, ‎so that some of them have not influence on variable. ‎We proposed based linear shrinkage, ‎pretest, ‎shrinkage pretest, ‎Stein-type, ‎and positive Stei...

By enabling constraint-aware online model adaptation, predictive control using Gaussian process (GP) regression has exhibited impressive performance in real-world applications and received considerable attention the learning-based community. Yet, solving resulting optimal problem real-time generally remains a major challenge, due to i) increased number of augmented states optimization problem, ...