Results 21 to 30 of about 39,346 (217)
Investor Sentiment Measurement and Time Series Analysis [PDF]
Investor sentiment is one of the destabilizing factors in the stock market. In the past, some scholars have proposed models for the measurement of emotions. On this basis, this paper selects 9 factors (closed-end fund discount rate, trading volume of the
Bai Yuchen
doaj +1 more source
Eddies: Fluid Dynamical Niches or Transporters?–A Case Study in the Western Baltic Sea
Fluid flows in the ocean have a strong impact on the growth and distribution of planktonic communities. In this case study, we applied a Lagrangian eddy detection and tracking tool and a transfer operator approach to data from a coupled hydrodynamical ...
Rahel Vortmeyer-Kley +5 more
doaj +1 more source
Time series data analysis under indeterminacy
The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
doaj +1 more source
On predicting climate under climate change
Can today’s global climate model ensembles characterize the 21st century climate in their own ‘model-worlds’? This question is at the heart of how we design and interpret climate model experiments for both science and policy support.
Joseph D Daron, David A Stainforth
doaj +1 more source
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT).
Ricardo Petri Silva +3 more
doaj +1 more source
Nonlinear Analysis of Financial Time Series [PDF]
One of the axioms of the modern science states that, if one can identify an exact mathematical description of a physical system, then a very detailed understanding of the system’s properties is possible.
Sorin Vlad, Mariana Vlad
doaj
Visibility Graph Based Time Series Analysis. [PDF]
Network based time series analysis has made considerable achievements in the recent years. By mapping mono/multivariate time series into networks, one can investigate both it's microscopic and macroscopic behaviors. However, most proposed approaches lead
Mutua Stephen, Changgui Gu, Huijie Yang
doaj +1 more source
A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread.
Hatef Dastour, Quazi K. Hassan
doaj +1 more source
A Novel Method for IPTV Customer Behavior Analysis Using Time Series
Internet Protocol Television (IPTV) has had a significant impact on live TV content consumption in the past decade, as improvements in the broadband speed have allowed more data volume to be delivered.
Tomislav Hlupic +2 more
doaj +1 more source
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source

