Results 1 to 10 of about 31,121 (256)
A simulation and evaluation of earned value metrics to forecast the project duration [PDF]
In this paper, we extensively review and evaluate earned value (EV)-based methods to forecast the total project duration. EV systems have been set up to deal with the complex task of controlling and adjusting the baseline project schedule during execution, taking into account project scope, timed delivery and total project budget.
Mario Vanhoucke
exaly +3 more sources
A comparison of financial duration models via density forecasts [PDF]
Using density forecast evaluation techniques, we compare the predictive performance of econometric specifications that have been developed for modeling duration processes in intra-day financial markets. The model portfolio encompasses various variants of the Autoregressive Conditional Duration (ACD) model and recently proposed dynamic factor models ...
Luc Bauwens +2 more
exaly +7 more sources
International audienceThis study focus on the minimum duration of training data required for PV generation forecast. In order to investigate this issue, the study is implemented on 2 PV installations: the first one in Guadeloupe represented for tropical ...
Minh-Thang Dô, Ted Soubdhan
exaly +3 more sources
COVID-19 Pandemic: Duration and Epidemiological Forecast
The World Health Organization declared COVID-19 a pandemic on March 11, 2020. While in March 2022, i.e. approximately two years later, the global dominance of the phylogenetic variant of SARS-CoV-2 Omicron with its associated milder clinical course of the disease was registered, and therefore an epidemiological forecast was made about the onset of a ...
V. P. Toporkov
openaire +4 more sources
Modeling and Forecasting Persistent Financial Durations [PDF]
This paper introduces the Markov-Switching Multifractal Duration (MSMD) model by adapting the MSM stochastic volatility model of Calvet and Fisher (2004) to the duration setting. Although the MSMD process is exponential $β$-mixing as we show in the paper, it is capable of generating highly persistent autocorrelation.
Filip Žikeš +2 more
openaire +4 more sources
Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm [PDF]
Efficient, robust, and accurate early flood warning is a pivotal decision support tool that can help save lives and protect the infrastructure in natural disasters.
Deo, Ravinesh C. +4 more
core +1 more source
Forecasting the duration of short‐term deflation episodes [PDF]
AbstractThe paper proposes a simulation‐based approach to multistep probabilistic forecasting, applied for predicting the probability and duration of negative inflation. The essence of this approach is in counting runs simulated from a multivariate distribution representing the probabilistic forecasts, which enters the negative inflation regime.
Wojciech Charemza +2 more
openaire +3 more sources
A stochastic approach to forecast project duration
For executives who track projects on a complete / failed basis, at each phase of the project, the project completion date may be adjusted using only stochastic calculations in closed form. The proposed method to predict the final project duration may be interpreted intuitively.
null I Neroslavsky, null O. Neroslavsky
openaire +1 more source
Volatility Estimation and Forecasts Based on Price Durations [PDF]
Abstract We investigate price duration variance estimators that have long been neglected in the literature. In particular, we consider simple-to-construct non-parametric duration estimators, and parametric price duration estimators using autoregressive conditional duration specifications.
Seok Young Hong +3 more
openaire +1 more source
Forecasting the Remaining Duration of an Ongoing Solar Flare [PDF]
Abstract The solar X‐ray irradiance is significantly heightened during the course of a solar flare, which can cause radio blackouts due to ionization of the atoms in the ionosphere. As the duration of a solar flare is not related to the size of that flare, it is not directly clear how long those blackouts can persist.
Jeffrey W. Reep, Will T. Barnes
openaire +4 more sources

