Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

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 ...

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 ...

Clinical outcomes in patients with mismatch repair-deficient colorectal cancer: A retrospective real-world evaluation in a single tertiary cancer centre. This is an ASCO Meeting Abstract from the 2025 ...

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 importance of software cost estimation has been increasing gradually over last three decades. Software cost estimation is related to how long and how many people are required to complete a ...

This report presents estimates of the number of unauthorized immigrants in the United States as of July 2023 and for previous years back to 1990. These estimates supersede all previously published Pew ...

This report presents estimates of the number of unauthorized immigrants in the United States as of July 2023 and for earlier years. As noted earlier in this report, the estimates presented here ...