Distinctive regional characteristics in different natural gas markets have increased the difficulty accurately forecasting prices. Moreover, experienced great structural instability due to advancement technology and rapid financialization over past few decades. We employ three classes of flexible time-varying parameters models evaluate effects on prices forecasts. Using data from US, EU Japanes...

In this article, we write the time-varying parameter (TVP) regression model involving K explanatory variables and T observations as a constant coefficient with KT variables. contrast much of existing literature which assumes coefficients to evolve according random walk, hierarchical mixture on TVPs is introduced. The resulting closely mimics specification groups into several regimes. These flex...

Estimating and detecting faults is crucial in ensuring safe efficient automated systems. In the presence of disturbances, noise, or varying system dynamics, such estimation even more challenging. To address this challenge, article proposes a novel filter to estimate multiple fault signals for class discrete-time linear parameter-varying (LPV) The design formulated as an optimization problem sol...