Results 181 to 190 of about 44,356 (305)

Correction: Analysis of human capital effects introducing Bayesian quantile regression in the process of industrial structural upgrading. [PDF]

PLoS One
Wang X, Shi S.
europepmc   +1 more source

Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting

Journal of Forecasting, Volume 45, Issue 2, Page 880-891, March 2026.
ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin, Francisco Javier Blanco‐Encomienda   +1 more
wiley   +1 more source

A Bayesian quantile regression approach for determining risk factors of low birth weight of under five children in Cambodia. [PDF]

Sci Rep
Hossain MM.
europepmc   +1 more source

A General Simulation‐Based Optimisation Framework for Multipoint Constant‐Stress Accelerated Life Tests

Quality and Reliability Engineering International, Volume 42, Issue 2, Page 598-612, March 2026.
ABSTRACT Accelerated life testing (ALT) is a method of reducing the lifetime of components through exposure to extreme stress. This method of obtaining lifetime information involves the design of a testing experiment, that is, an accelerated test plan.
Owen McGrath, Kevin Burke
wiley   +1 more source

Analysis of human capital effects introducing Bayesian quantile regression in the process of industrial structural upgrading. [PDF]

PLoS One
Shi S, Wang X.
europepmc   +1 more source

Bayesian estimation and variables selection for binary composite quantile regression

, 2020
Taha Alshaybawee, Ahmad Naeem Flaih, Fadel Hamid Hadi Alhusseini   +2 more
openalex   +2 more sources

Bayesian reciprocal bridge composite tobit quantile regression

, 2022
Zainab S Alsaadi, Rahim Alhamzawi
openalex   +2 more sources

Stagewise Boosting Distributional Regression

Stat, Volume 15, Issue 1, March 2026.
ABSTRACT Distributional regression extends generalized additive models by linking all distributional parameters to covariates. Gradient boosting is among the most effective estimation techniques for such models, yet it can suffer from vanishing gradients, resulting in unstable updates and weak variable selection.
Mattias Wetscher, Johannes Seiler, Reto Stauffer, Nikolaus Umlauf   +3 more
wiley   +1 more source

Market Insurance and Risk Pooling in U.S. Crop Insurance

Agricultural Economics, Volume 57, Issue 2, March 2026.
ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan, Yong Liu, A. Ford Ramsey, David J. Leatham   +3 more
wiley   +1 more source

Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das, Bernard Baffour, Alice Richardson, Susanna M. Cramb, Stephen John Haslett   +4 more
wiley   +1 more source