Results 91 to 100 of about 417,068 (301)
Bayesian Forecast Combination for VAR Models [PDF]
We consider forecast combination and, indirectly, model selection for VAR models when there is uncertainty about which variables to include in the model in addition to the forecast variables.
Andersson, Michael K, Karlsson, Sune
core
A Selective Procedure For Combining Forecasts [PDF]
If there are various forecasts for the same random variable, it is common practice to combine these forecasts in order to obtain a better forecast. But an important question is how to perform the combination, especially if the system under investigation is subject to structural changes and, consequently, the best combination method is not the same all ...
openaire +3 more sources
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
The paper considers the forecasting of the euro/Polish złoty (EUR/PLN) spot exchange rate by applying state space wavelet network and econometric forecast combination models.
Brdyś Mietek A. +2 more
doaj +1 more source
Forecast combination approach with meta-fuzzy functions for forecasting the number of immigrants within the maritime line security project in Turkey. [PDF]
Cevik FC, Gever B, Tak N, Khaniyev T.
europepmc +1 more source
Review of Nature-Inspired Forecast Combination Techniques [PDF]
Effective and efficient planning in various areas can be significantly supported by forecasting a variable like an economy growth rate or product demand numbers for a future point in time. More than one forecast for the same variable is often available,
Gabrys, Bogdan, Lemke, Christiane
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ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Linear combination of forecasts with numerical adjustment via MINIMAX non-linear programming
This paper proposes a linear combination of forecasts obtained from three forecasting methods (namely, ARIMA, Exponential Smoothing and Artificial Neural Networks) whose adaptive weights are determined via a multi-objective non-linear programming ...
Jairo Marlon Corrêa +4 more
doaj +1 more source
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
The Effectiveness of Forecasting Methods Using Multiple Information Variables [PDF]
This paper examines the effectiveness of forecasting methods using multiple information variables in forecasting the rate of changes in the consumer price index (CPI) and real GDP in Japan, and investigates the background of forecast performance ...
Kitamura, Tomiyuki, Koike, Ryoji
core

