The Bayesian framework for statistics is quickly gaining in popularity among scientists, for
reasons such as reliability and accuracy (particularly in noisy data and small samples), the …

Turmoil has engulfed psychological science. Causes and consequences of the
reproducibility crisis are in dispute. With the hope of addressing some of its aspects …

Background: There is insufficient prospective evidence regarding the relationship between
surgical experience and prolonged opioid use and pain. The authors investigated the …

Biodiversity is rapidly changing due to changes in the climate and human related activities;
thus, the accurate predictions of species composition and diversity are critical to developing …

Naming common odors is a surprisingly difficult task: Odors are frequently misnamed. Little
is known about the linguistic properties of odor misnamings. We test whether odor …

Motivated by cross-jurisdictional private activities, this study proposes a fiscal spillover
channel to investigate the spatial crowding-out and crowding-in effects of government …

Abstract The Information and Communication Technologies (ICT) infrastructure sector has
dramatically expanded over the past decade as the demand for increased digital …

Abstract Jin et al.(2020) proposed an efficient, distribution-free least squares estimation
method that utilizes the eigendecomposition of a weight matrix in a dynamic space–time …

Accurate predictions of species composition and diversity are critical to the development of
conservation actions and management strategies. In this paper using oak assemblages …

We propose an efficient posterior sampling algorithm for a spatial dynamic panel data model
in terms of Bayesian inference. The stationary condition of the model mutually depends on …