bayesian-sgdlm is a Python script for fully Bayesian SGDLMs, treating each node as a VAR( š¯‘¯) DLM. It leverages decoupleā€“recouple filtering with Variational Bayes and importance sampling to estimate ...
ABSTRACT: This study investigates the relationship between public debt and economic growth in Uganda for the period 1990 to 2023 using a nonlinear autoregressive distributed lag (NARDL) model. The ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Introduction: Accurate wheat yield estimation is crucial for efficient crop management. This study introduces the Spatioā€“Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning ...
Nope, streaming hasnā€™t slowed its relentless takeover of the TV viewing universe. According to a recently released Nielsen report, streaming viewing surpassed linear TV (broadcasting and cable) for ...
In todayā€™s unpredictable market, cost savings are no longer the only or even the primary goal of procurement. Instead, long-term value creation, supply continuity, and risk mitigation are what set ...
Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...
Abstract: Conventional data-driven dynamic process monitoring methods usually rely on data collected at a single sampling rate. The effectiveness of these approaches typically diminishes when ...
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