Density Estimation News Today

Dublin, Jan. 24, 2024 (GLOBE NEWSWIRE) -- The

/PRNewswire/ -- As per Facts and Factors study, the global X-ray photoelectron spectroscopy market size was worth around USD 522 million in 2021 and is...

NEW YORK, April 18, 2023 /PRNewswire/ -- As per Facts and Factors study, the global X-ray photoelectron spectroscopy market size was worth around USD 522 million in 2021 and is predicted to

Providing access to synthetic micro-data in place of confidential data to protect the privacy of participants is common practice. For the synthetic data to be useful for analysis, it is necessary that the density function of the synthetic data closely approximate the confidential data. Hence, accurately estimating the density function based on sample micro-data is important. Existing kernel-based, copula-based, and machine learning methods of joint density estimation may not be viable. Applying ...

The impact of the Belt and Road Initiative (BRI) on the environment is an important but controversial topic. But assessing it faces a significant challenge for separating its policy impact from the overall effect of economic development that will also have environmental impacts. This paper attempts to provide an evolutionary and counterfactual baseline to evaluate the environmental impact of BRI, based on the distribution dynamics approach and the mobility probability plots (MPPs). Our estimatio...

 E-Mail One of the worlds most endangered whale species could have added protection from threats posed by human marine activity, through technology developed by the University of East Anglia (UEA). In partnership with the Scottish Association for Marine Science (SAMS) and the marine survey company Gardline Geosurvey Limited, UEA researchers have developed machine learning techniques that can be used to detect the presence of North Atlantic right whales by listening for the sounds they make u...

Abstract This paper presents an efficient data mining strategy to reveal the operational problems of ground source heat pump (GSHP) systems. Symbolic Aggregate approXimation was employed to identify typical daily load patterns and provide a reference for data partition. Kernel Density Estimation was used to evaluate overall system performance in different operation patterns identified. To find the root causes of inefficient operations, a customized association rule mining model was developed to...