Results 241 to 250 of about 2,509,073 (310)

The impact of deep brain stimulation payment adjustments on healthcare utilization in Shanghai, China: a regression discontinuity analysis of health insurance claims. [PDF]

BMC Health Serv Res
Xing Q, Chen T, Hu H, He D, Wang W, Yin Y, Wang H.   +6 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Changes in Passive Muscle Stiffness Following Biceps Femoris Strain Injury in Track-and-Field Athletes: Cross-Sectional and Longitudinal Analyses. [PDF]

Scand J Med Sci Sports
Kukuchi S, Togashi I, Aoyagi M, Shiota Y, Komatsu T, Takazawa Y, Miyamoto N.   +6 more
europepmc   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models. [PDF]

Stat Med
Orihara S, Sugasawa S, Ohigashi T, Hirano K, Nakagawa T, Taguri M.   +5 more
europepmc   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods. [PDF]

Sensors (Basel)
Ekwe M, Fernando H, James G, Adeluyi O, Verrelst J, Kross A.   +5 more
europepmc   +1 more source

The Role of Price‐Volatility Cojumps in Volatility Forecasting

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley   +1 more source

Depression and daytime dysfunction centralize the fatigue-sleep cascade in island firefighters: a symptom network and Bayesian DAG study. [PDF]

Front Psychiatry
Liu Y, Li Z, Xiang Q, Zhang X, Bai R, Sun C, Liu J.   +6 more
europepmc   +1 more source