Simulation Modeling of Space Missions Using the High Level Architecture
This paper discusses an environment being developed to model a mission of the Space Launch System (SLS) and the Multipurpose Crew Vehicle (MPCV) being launched from Kennedy Space Center (KSC) to the International Space Station (ISS). Several models representing different phases of the mission such as the ground operations processes, engineered systems,
Luis Rabelo +7 more
wiley +1 more source
Modelling and projecting regional electricity demand for Saudi Arabia
Abstract We address the shortcomings associated with modelling national aggregate electricity consumption in a large and diverse country with unique regional characteristics. Focusing on Saudi Arabia, we employ an econometric approach to analyse the distinct responses of its regions to electricity prices and income levels.
Jeyhun I. Mikayilov, Abdulelah Darandary
wiley +1 more source
What a Puzzle! Unravelling Why UK Phillips Curves were Unstable
Abstract The UK relationship between nominal wage inflation and the unemployment rate is unstable. Over sub‐periods of the last 160 years of turbulent data, Phillips curve slopes range from strongly negative, slightly negative, flat, slightly positive and strongly positive.
Jennifer L. Castle, David F. Hendry
wiley +1 more source
Forecasting the UK top 1% income share in a shifting world
Abstract UK top income shares have varied hugely over the past two centuries, ranging from more than 30% to less than 7% of pre‐tax national income allocated to the top 1 percentile. We build a congruent dynamic linear regression model of the top 1% income share allowing for economic, political and social factors. Saturation estimation is used to model
Jennifer L. Castle +2 more
wiley +1 more source
Spectra of autometrized lattice algebras [PDF]
Summary: Autometrized algebras are a common generalization, e.g., of commutative lattice-ordered groups and Brouwerian algebras. In the paper, spectra of normal autometrized lattice-ordered algebras (i.e. topologies of sets (and subsets) of their proper prime ideals) are studied.
openaire +1 more source
Interpretable Machine Learning Using Partial Linear Models*
Abstract Despite their high predictive performance, random forest and gradient boosting are often considered as black boxes which has raised concerns from practitioners and regulators. As an alternative, we suggest using partial linear models that are inherently interpretable.
Emmanuel Flachaire +3 more
wiley +1 more source
A Brief History of General‐to‐specific Modelling*
We review key stages in the development of general‐to‐specific modelling (Gets). Selecting a simplified model from a more general specification was initially implemented manually, then through computer programs to its present automated machine learning role to discover a viable empirical model.
David F. Hendry
wiley +1 more source
Empirical Analysis of Renewable Energy Demand in Ghana with Autometrics [PDF]
Increased investment in renewable energy has been identified as a potential solution to the intermittent power supply in Ghana. Recently, a Renewable Energy Act has been passed which has a target of 10% of renewable energy component in Ghana's energy mix
Mcmori Asomani, Ishmael Ackah
core
A Survey of New Dynamic Macro Econometric Models:An Automatic General-to-Specific Approach [PDF]
Econometric methodologies can be evaluated based on several criteria, including consistency with economic theory, empirical robustness, forecasting performance, and policy relevance.
Nasser Khiabani, Fahim Matoori
doaj
Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm [PDF]
Automated model selection has been used to bridge the gap between experts and end users since 1960s starting with Stepwise and recently with Autometrics for single equation.
Nur Azulia, Kamarudin
core +1 more source

