Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...
Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...
This paper investigates the presence of nonlinear mechanisms of pass-through from the exchange rate to inflation in Brazil. In particular, it estimates a Phillips curve with a threshold for the ...
Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...
ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...
ABSTRACT: This research empirically investigated asymmetric effect for volatility of currency rate exchange on foreign direct investment, inflation and Balance of Trade in Nigeria. Quarterly data on ...
We propose Scale-Aware KV Cache (ScaleKV), a novel KV Cache compression framework tailored for VAR’s next-scale prediction paradigm. ScaleKV leverages on two critical observations: varying cache ...
Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly ...
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