Results 231 to 240 of about 219,700 (321)

On selection of prior distribution in inverse analyses by Akaike Bayesian Information Criterion

, 2004
Yusuke Honjo, Budihi SETIAWAN, Michihiro Kitahara   +2 more
openalex   +2 more sources

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock, John Grewar, Richard Newton   +2 more
wiley   +1 more source

The effects of yoga exercise on stress relief capacity and emotional changes: a systematic review and meta-analysis. [PDF]

Front Psychol
Mu X, Xu K, Wang X, Sun Y, Wen D, Dong D.   +5 more
europepmc   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Most Neuroscience Data Is Not Normally Distributed: Analyzing Your Data in a Non-normal World. [PDF]

eNeuro
Malek-Ahmadi M, Reed AM, Guan DX.
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
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, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Appendix E. Mesoscale predictive models rankings based on Akaike's Information Criterion for models with Akaike weights > 0.05.

, 2016
Jeffrey R. Dunk, William J. Zielinski, Haiganoush K. Preisler   +2 more
openalex   +1 more source

Why Do Hedgers Hedge? The Role of Ambiguity

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates whether ambiguity influences hedging behavior in commodity futures markets. Using high‐frequency crude oil futures data, distinct measures of risk and ambiguity are linked to weekly hedging positions from the Commodity Futures Trading Commission (CFTC).
Fiona Höllmann
wiley   +1 more source

Guidance or Misdirection? Unpacking the Role of Feedback in Health Preference Assessments

Health Economics, EarlyView.
ABSTRACT This study investigated the impact of providing feedback to respondents on a dominance‐structured choice task on subsequent choice behavior in a discrete choice experiment (DCE). The DCE was conducted among 626 patients with heart failure. Respondents were given a dominance‐structured choice task in which two devices (Device A and Device B ...
Mesfin G. Genie, Shelby D. Reed, Semra Ozdemir   +2 more
wiley   +1 more source

Access to Specialized Medical Training in Spain and Determinants of Failure in the National Entrance Examination: Econometric Modeling Study. [PDF]

JMIR Form Res
Diaz-Fernandez M, Llorente-Marron M, Asensi V.   +2 more
europepmc   +1 more source