Results 161 to 170 of about 93,376 (303)

Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination [PDF]

In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies.
Timo Teräsvirta, Marcelo Cunha Medeiros, Dick van Dijk   +2 more
core  

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma, Nathan Pavey, Yukiko Tsuji, Amirul Ab Ghapar, Mehdi A.J. van den Bos, Bronwen Orden, Grace Lee, Linda Mekhael, Julie Ryder, Cláudia Santos Silva, David McDonald, Fakhria Kakar, Con Yiannikas, Matthew C. Kiernan, David A. Brown, Parvathi Menon, Steve Vucic   +16 more
wiley   +1 more source

Forecasting time series with multivariate copulas

Dependence Modeling, 2015
Simard Clarence, Rémillard Bruno
doaj   +1 more source

Hybrid evolutionary-gradient training improves long-term time series forecasting. [PDF]

Sci Rep
Zhao L, Chen Z, Wu N, Bai L.
europepmc   +1 more source

Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing [PDF]

This paper concerns the forecasting of seasonal intraday time series. An extension of Holt-Winters exponential smoothing has been proposed that smoothes an intraday cycle and an intraweek cycle.
Ralph D. Snyder, James W. Taylor
core  

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Automatic forecasting with a modified exponential smoothing state space framework [PDF]

A new automatic forecasting procedure is proposed based on a recent exponential smoothing framework which incorporates a Box-Cox transformation and ARMA residual corrections.
Alysha M De Livera
core  

Sex Differences in Medication Discontinuation in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall, Cinthia Blat, Eric Roberts, Jean W. Liew, Katherine Wysham, Namrata Singh, Janna Friedly, Lianne S. Gensler, Gabriela Schmajuk, Jinoos Yazdany   +9 more
wiley   +1 more source

Efficient data selection for time series forecasting using a lightweight linear proxy framework. [PDF]

Sci Rep
Ao X, Chen M.
europepmc   +1 more source

Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models

This empirical paper compares the accuracy of 12 time series methods for short-term (day-ahead) spot price forecasting in auction-type electricity markets.
Weron, Rafal, Misiorek, Adam
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