Ranking lists are often provided at regular time intervals by one or mul...
Reduced-rank regression recognises the possibility of a rank-deficient m...
This article proposes a novel Bayesian multivariate quantile regression ...
Timely characterizations of risks in economic and financial systems play...
The deployment of robots within realistic environments requires the
capa...
This paper examines the dependence between electricity prices, demand, a...
In this paper we propose a novel method to deal with Vector Autoregressi...
In this paper we propose a time-varying parameter (TVP) vector error
cor...
Vector autoregressive (VAR) models assume linearity between the endogeno...
This paper proposes a novel asymmetric continuous probabilistic score (A...
In this paper we introduce a novel Bayesian data augmentation approach f...
Over the last decade, big data have poured into econometrics, demanding ...
This work presents a construction of stationary Markov models with negat...
This paper introduces a general class of hierarchical nonparametric prio...
Two-piece location-scale models are used for modeling data presenting
de...