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

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, ...

The terms Agile and estimations don't align perfectly. Agile is all about responding to change rather than following a plan, while accurate estimations require a fixed plan that doesn't change. It's a ...

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 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 ...

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 24, No. 1 (March 2019), pp. 26-48 (23 pages) When conducting a national survey or census, administrative data may be available ...