Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

MANCHESTER, Dec 12 (Reuters) - The British public's expectations for inflation inched lower in November, according to a Bank of England survey published on Friday. The public's median expectation for ...

In 2022, only 44% of surveyed high school students said they expected to earn a bachelor’s degree—down sharply from the 72% with that expectation in 2002. High school students’ expectations for ...

FRANKFURT, Sept 26 (Reuters) - Euro zone consumers raised some of their inflation expectations in August and saw higher income growth in the year ahead, the European Central Bank's monthly Consumer ...

Investors hiked expectations that the Federal Reserve will cut interest rates after non-farm payrolls data last week showed slow jobs growth in August, with some analysts raising the prospect of a ...

This week on IPWatchdog Unleashed my conversation is with Kevin McNish, who is a registered patent attorney who represents clients in inter partes reviews (IPR), post-grant reviews (PGR), ex parte ...

“Today, GDP growth came in above market expectations, and yesterday, consumer confidence rose. Americans trust in President Trump’s America First economic agenda that continues to prove the so-called ...

That means, how many times does the expected future earnings need to be multiplied to meet the current stock price? The expected future earnings are based on the projected earnings of the analysts ...

In the original published article, there were typographical errors in mathematical formulas (Equations 58, 59, 73, and 74). The equations were derived and implemented correctly in the computer program ...

“Although there is no bright-line rule on when expectations become settled, in general, the longer the patent has been in force, the more settled expectations should be.” – Stewart decision In the ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...