Bayesian Estimation and Maximum Likelihood Methods Publication Trend The graph below shows the total number of publications each year in Bayesian Estimation and Maximum Likelihood Methods.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, announced the proposed multi-qubit quantum state sharing scheme, which, through an innovative ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

The authors provide solid evidence of its utility by benchmarking multiple demultiplexing methods and proposing a new variant consistency metric. While the tool is valuable for guiding method ...

In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either use ...

Lithium-ion batteries are in most consumer electronics, from power banks and smartphones to active mobility devices. Although ...

Maximum likelihood (ML) estimation algorithm is a special case of Bayesian estimation method in the field of direction of arrival (DOA) estimation. The ML algorithm exhibits robust capabilities with ...

In the following article, Tony Chan-Carusone explores the critical role of Forward Error Correction (FEC) in high-speed wireline networking, particularly with the adoption of PAM4 modulation for ...

Data-driven financing is the future, writes Tim Armstrong, co-founder of Silver Birch Finance and head of its receivables ...

Consumer packaged goods giant Conagra Brands (CAG) will release its earnings report for its fiscal fourth quarter on June 10.