Results 181 to 190 of about 10,357 (300)

Bayesian binary quantile regression for the analysis of Bachelor-Master\n transition [PDF]

, 2015
Mollica, Cristina, Lea Petrella
openalex   +1 more source

Activity Patterns and Stress—Prognostic Factors for Pain Persistence and Disability in Acute Neck Pain: A 1‐Year Prospective Cohort Study

European Journal of Pain, Volume 30, Issue 6, July 2026.
ABSTRACT Background Neck pain (NP) is a common global health problem, and persistent symptoms are often linked to psychological stress. How individuals respond to pain during daily activities is captured by activity patterns (eustress persistence, distress persistence, activity pacing and fear avoidance).
Rita Morf, Leah Reicherzer, Jürgen Degenfellner, Sabina Hotz‐Boendermaker   +3 more
wiley   +1 more source

SARS-CoV-2 and climate factors: a study between linear regression and quantile regression model using longitudinal count data. [PDF]

BMC Public Health
Akter N, Khan MMH.
europepmc   +1 more source

Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

Environmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini, Giacomo Toscano, Ginevra Virginia Lombardi, Maria Elvira Mancino   +3 more
wiley   +1 more source

Urinary volatile organic compounds and stroke risk: A cross-sectional analysis of NHANES data. [PDF]

Medicine (Baltimore)
Liu H, Zhu X.
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Performance of quantile regression methods with discrete outcomes: A simulation study with applications to environmental epidemiology. [PDF]

Environ Epidemiol
Alampi JD, Lanphear BP, McCandless LC.
europepmc   +1 more source

Bayesian quantile additive regression trees [PDF]

, 2016
Bereket P. Kindo, Hao Wang, Timothy Hanson, Edsel A. Peña   +3 more
openalex   +1 more source

Forecasting Natural Gas Futures Price Volatility of the United States: National Versus State‐Level Climate Concern Indexes

Journal of Futures Markets, Volume 46, Issue 7, Page 1275-1297, July 2026.
ABSTRACT This paper uses GARCH‐MIDAS to predict US natural gas futures volatility using national and state‐level Climate Concern Indexes (CCIs). We find that both national and state‐level CCIs positively affect price volatility. Notably, models using state‐level data—specifically those utilizing least‐squares (LS) weighting combinations—surpass the ...
Afees A. Salisu, Ahamuefula E. Ogbonna, Rangan Gupta, Onur Polat   +3 more
wiley   +1 more source

The association between prenatal exposure to mixed air pollutants and birth defects risk: a population-based study in Tangshan, China. [PDF]

Front Public Health
Guo M, Li Y, Li H, Yang Y, Zhang H.
europepmc   +1 more source