Results 201 to 210 of about 88,237 (314)

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Composite Hardening Effect in KNN Piezoelectric Ceramics

open access: yes
This study investigates the preparation of KNN-ZnO composites through optimized sintering conditions under both inert and oxygen atmospheres. Initial experiments employing inert hot pressing were hindered by the necessity for annealing, which resulted in
Ke Wang, Haofeng Huang
core  

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

open access: yesHead &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He   +10 more
wiley   +1 more source

RETRACTED: Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago   +3 more
wiley   +1 more source

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