The growing population and demand for staple foods in Nigeria necessitate the promotion of
smallholder market participation, particularly in the pepper industry. Therefore, pepper …

We examine the effects of external and internal expenditure on research and development
on the business performance of industrial agri‐food enterprises. For this purpose, a data …

Nigeria is the second largest poultry industry in Africa, with its poultry industry the most
commercialized livestock sub-sector. Despite its significance, the farmers still experience …

Since the pioneering work by Koenker and Bassett [27], quantile regression models and its
applications have become increasingly popular and important for research in many areas. In …

Tobit quantile regression (QReg) model provides an efficient way of coping with left-
censored data and can be viewed as a linear QReg model, where only the data on the …

Quantile regression is a method of fundamental importance. How to efficiently conduct
quantile regression for a large dataset on a distributed system is of great importance. We …

Empirical studies on farmland rental rates so far have predominantly concentrated on
modelling conditional means using spatial autoregressive models. While these models only …

In this article, we introduce three Bayesian variable selection methods for the quantile
autoregressive model with explanatory variables. The Gibbs sampling algorithms are …

Lasso methods are regularisation and shrinkage methods widely used for subset selection
and estimation in regression problems. From a Bayesian perspective, the Lasso-type …

This paper presents a selective review of statistical computation methods for massive data
analysis. A huge amount of statistical methods for massive data computation have been …