Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

The IEA-PVPS Task 15 has conducted a global survey on BIPV design workflows and methods. The team surveyed 80 professionals from 10 professional groups involved in BIPV, including architects, ...

Maintain a disciplined bidding pipeline to ensure consistent project flow and avoid feast-or-famine cycles. Use post-bid ...

In this white paper, we’ll review the many steps of today’s common ASIC/SoC power methodologies and tool flows. We’ll then propose ways you can further optimize your power methodology to more quickly ...

Imagine you're cooking a new recipe. You have the ingredients, the instructions and the tools. Yet, as you cook, you run into problems: some ingredients need more prep time, the oven heats unevenly ...

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...

This paper presents the results of applying the Revenue Administration Gap Analysis Program – Value-Added Tax (RA-GAP VAT) gap estimation methodology to Belgium for the period 2011-2021. The RAGAP ...