Brownian Bridge and Other Path-dependent Gaussian Processes Vectorial Simulation

The iterative simulation of the Brownian bridge is well known. In this article, we present a vectorial simulation alternative based on Gaussian processes for machine learning regression that is suitable for interpreted programming languages implementations. We extend the vectorial simulation of path-dependent trajectories to other Gaussian processes, namely, sequences of Brownian bridges, geometric Brownian motion, fractional Brownian motion, and Ornstein–Ulenbeck mean reversion process.     

Assessing Priorities of Transparency During COVID-19 Pandemic in Brazil

Public Organization Review - This article assesses the level of transparency of epidemiological and financial budgetary information on the COVID-19 pandemic in Brazilian state governments and the...     

Employee voice on social media — An affordance lens

Voice mechanisms in organizations provide an opportunity for employees to have a say about their work. As new digital mechanisms, such as social media (SM), are being increasingly adopted by organizations for knowledge sharing, employee engagement and general communication, it is important to consider the extent to which SM may facilitate employee voice. The limited attempts to examine SM and employee voice have mostly focused on identifying the contextual factors that could promote constructive voice on SM. The extant literature does not explore how SM features may (or may not) facilitate all types of voice, such as those which promote employee interests. Adopting an affordance lens, this paper answers the call of voice scholars to explore the potential of SM as a voice mechanism by discussing the perceived value of different SM features for different types of employee voice content. The paper brings together SM and voice literature and explores how different SM affordances may potentially facilitate certain voice content more so over others. In doing so, future directions for research of voice on SM are also discussed.