Results 101 to 110 of about 3,168 (213)
The U.S. Federal Deficit and Market Equity Returns
ABSTRACT Since the U.S. dollar has been operating as a fiat currency, there has been a strong link between U.S. government deficits as a percentage of GDP and forward‐looking equity returns. As federal deficits get larger, the expected return to the market over the subsequent 10 years increases. This effect is material.
Jason D. Fink, Kristin E. Fink
wiley +1 more source
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source
Wavelet‐Based Hurst Exponent Estimation
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
The role of internal variability in generating an apparent link between autumn Barents‐Kara sea (BKS) ice and the winter North Atlantic Oscillation (NAO) has been intensely debated.
Kristian Strommen, Fenwick C. Cooper
doaj +1 more source
ABSTRACT Reliable design precipitation estimation is vital for flood risk management and infrastructure design. In Japan, the Depth‐Area‐Duration (DAD) method is widely used for operational Probable Maximum Precipitation (PMP) estimation, but it lacks a probabilistic link to rainfall frequency and does not yield the spatiotemporal rainfall fields ...
Wasitha Dilshan +2 more
wiley +1 more source
From Optimism to Opportunity: New Perspectives on the Osteological Paradox
ABSTRACT The Osteological Paradox has had an immeasurable impact on bioarchaeology. It has spurred introspection, increased scientific rigor, and encouraged a suite of new and valuable approaches and methods to deal with the challenges it raises.
Clare McFadden +7 more
wiley +1 more source
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley +1 more source
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao +5 more
wiley +1 more source
The Mathematical History Behind the Granger–Johansen Representation Theorem
ABSTRACT When can a vector time series that is integrated once (i.e., becomes stationary after taking first differences) be described in error correction form? The answer to this is provided by the Granger–Johansen representation theorem. From a mathematical point of view, the theorem can be viewed as essentially a statement concerning the geometry of ...
Johannes M. Schumacher
wiley +1 more source
Large‐Dimensional Cointegrated Threshold Factor Models: The Global Term Structure of Interest Rates
ABSTRACT In this paper we extend the two‐level factor model to account for cointegration between group‐specific factors in large datasets. We propose two nonlinear specifications: (i) a threshold vector error correction model (VECM) that allows for asymmetric adjustment across regimes; and (ii) a band VECM that captures state‐dependent adjustment which
Daniel Abreu, Paulo M. M. Rodrigues
wiley +1 more source

