Seabirds are bioindicators of marine ecosystems and one of the world's most endangered avian groups. The creation of marine protected areas plays an important role in the conservation of marine environment and its biodiversity. The use of top predators distributions, as seabirds, for the...

Conventional multi-task Bayesian compressive sensing methods, which compute the sparse representations of signals with a group sparse pattern, generally ignore the inner sparse structures of signals and/or their statistical correlations. These structures are naturally exhibited among clustered...

The optimal structure of a sinusoidal wavy plate fin heat sink with crosscut ( SWHS-WC) is determined by an efficient intelligent optimization method based on the Bayesian Optimization (BO) algorithm. The comprehensive thermal performance factor (TPF) is the objective function to associate with...

Unplanned nuclear power plant (NPP) reactor trips due to operator error have frequently occurred during start-up and shutdown operations on account of operator workload and fatigue. Despite the need for efforts to reduce such human errors through human reliability analysis (HRA), most existing...

Multi-objective Bayesian optimization (MOBO) is an efficient and robust optimization framework for expensive functions. In this work, we use MOBO to optimize the free parameters of a high-order nonlinear weighted essentially non-oscillatory (WENO) reconstruction scheme to devise a model for...

In this work, we develop a multi-fidelity Bayesian experimental design framework to efficiently quantify the extreme-event statistics of an input-to-response (ItR) system with given input probability and expensive function evaluations. The key idea here is to leverage low-fidelity samples whose...

In this article we introduce a new framework for counterparty risk model backtesting based on Bayesian methods. This provides a conceptually sound approach for analyzing model performance which is also straightforward to implement. We show that our methodology provides important advantages over...

This note provides sufficient conditions for the existence of equilibrium in a class of extended Bayesian persuasion models. We consider a framework in which a single sender discloses public information to n receivers. After observing the sender’s signal, the receivers update their beliefs to...

We investigate whether the Federal Reserve has responded systematically to house and stock prices and whether this response has changed over time using a Bayesian structural VAR model with time-varying parameters and stochastic volatility. To recover the systematic component of monetary policy,...