Spatial documentation is exponentially increasing given the availability of Big Data in the
Internet of Things, enabled by device miniaturization and data storage capacity. Bayesian …

Data‐driven artificial intelligence (DDAI) prediction has gained much attention, especially in
recent years, because of its power and flexibility compared to traditional approaches. In …

In statistical process control/monitoring (SPC/M), memory-based control charts aim to detect
small/medium persistent parameter shifts. When a phase I calibration is not feasible, self …

Over the next century, coastal regions are under threat from projected rising sea levels and
the potential emergence of groundwater at the land surface (groundwater inundation). The …

Quantification of long-term hydrologic change in groundwater often requires the comparison
of states pre-and post-change. The assessment of these changes in ungauged catchments …

Possibility and probability are the two aspects of uncertainty, where uncertainty represents
the ignorance of a given individual. The notion of alternative (or event) belongs to the …

Abstract Bayesian Dynamic Borrowing (BDB) designs are being increasingly used in clinical
drug development. These methods offer a mathematically rigorous and robust approach to …

Identifying optimal treatments for patients living with rare diseases is challenging due to the
small numbers of individuals affected. One design used to address this challenge is known …

The choice of prior specification plays a vital role in any Bayesian analysis. Prior-data
disagreement occurs when the researcher's prior knowledge is not in agreement with the …

Replication of scientific studies is important for assessing the credibility of their results.
However, there is no consensus on how to quantify the extent to which a replication study …