Results 201 to 210 of about 177,424 (286)
Abstract Background Condylar stress fracture of the third metacarpal bone (MC3) is a common catastrophic injury in Thoroughbred racehorses and is associated with parasagittal groove (PSG) subchondral osteolysis. Standing computed tomography (sCT) imaging enables sensitive identification of this fatigue‐induced early subchondral bone injury (SBI), but ...
Nicola L. Brown +5 more
wiley +1 more source
Anuran call properties as reliable indicators of environmental suitability for reproduction
The onset of animal breeding activity is often accompanied by auditory signals, typically produced by males, that indicate reproductive status to potential mates and competitors. Here, using male anuran advertisement calls as a case study, we present the novel hypothesis that characteristics of ectotherm auditory signals that are modulated by ...
Julianne E Pekny +2 more
wiley +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Estimating influenza incidence using search query deceptiveness and generalized ridge regression. [PDF]
Priedhorsky R +4 more
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
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 +3 more
wiley +1 more source
Broken adaptive ridge regression and its asymptotic properties. [PDF]
Dai L, Chen K, Sun Z, Liu Z, Li G.
europepmc +1 more source
Modeling of current and future spatial distribution of Antarctic lecideoid lichens shows that warming will strongly increase the potential habitat. Under three climate‐change scenarios, most fungal and algal partners are projected to expand inland. Overall, climate change drives widespread range shifts and promotes colonization of interior Antarctica ...
Anna Götz +6 more
wiley +1 more source
Machine learning RF shimming: Prediction by iteratively projected ridge regression. [PDF]
Ianni JD, Cao Z, Grissom WA.
europepmc +1 more source

