Results 161 to 170 of about 51,738 (285)
The dynamic urban river water quality prediction based on hybrid model. [PDF]
Xu J +6 more
europepmc +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Heatwave-related variations in psychiatric consultations and admissions: a time-series analysis. [PDF]
Wedmann FM +5 more
europepmc +1 more source
CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
Comparative analysis of ARIMA and Holt-Winter's additive models for describing human respiratory syncytial virus activity in Yaoundé, Cameroon. [PDF]
Moumbeket-Yifomnjou MH +8 more
europepmc +1 more source
ABSTRACT Adult T‐cell leukemia/lymphoma (ATL) is an aggressive hematological malignancy with a poor prognosis and limited therapeutic options. ATL cells exhibit aberrant surface glycosylation patterns resulting from dysregulated glycosyltransferase expression, representing a potentially tumor‐specific therapeutic target.
Yuichiro Uchida +7 more
wiley +1 more source
Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt. [PDF]
Musala MK +7 more
europepmc +1 more source
Comparison of univariate ARIMA, multivariate ARIMA and vector autoregression forecasting [PDF]
A comparison of the forecasting abilities of univariate ARIMA, multivariate ARIMA, and VAR, and examination of whether series should be differenced before estimating models for forecasting purposes.Forecasting ; Time-series ...
Michael L. Bagshaw
core
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source

