Results 71 to 80 of about 9,896 (259)
International Journal of Cancer, EarlyView.This study provides contemporary, population‐based evidence that migration‐associated differences in gastric cancer risk, first described decades ago, remain stable, quantifiable, and prevention‐relevant in the United States. By integrating modern cancer registry data with formal trend analysis and conditional extrapolation, the authors show that ...
Chul S. Hyun +4 more
wiley +1 more source
Bayesian Quantile Regression for Partial Functional Linear Spatial Autoregressive Model
AxiomsWhen performing Bayesian modeling on functional data, the assumption of normality is often made on the model error and thus the results may be sensitive to outliers and/or heavy tailed data.
Dengke Xu +3 more
doaj +1 more source
Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression
Promet (Zagreb), 2020 With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based
Jing Luo
doaj +1 more source
Bayesian quantile estimation and regression with martingale posteriors [PDF]
Journal of the Royal Statistical Society Series B: Statistical MethodologyAbstract Quantile estimation and regression within the Bayesian framework is challenging as the choice of likelihood and prior is not obvious. In this paper, we introduce a novel Bayesian nonparametric method for quantile estimation and regression based on the recently introduced martingale posterior (MP) framework.
Fong, Edwin, Yiu, Andrew
openaire +2 more sources
Bayesian quantile regression for longitudinal count data
Journal of Statistical Computation and Simulation, 2022 This work introduces Bayesian quantile regression modeling framework for the analysis of longitudinal count data. In this model, the response variable is not continuous and hence an artificial smoothing of counts is incorporated. The Bayesian implementation utilizes the normal-exponential mixture representation of the asymmetric Laplace distribution ...
openaire +2 more sources
International Journal of Finance &Economics, EarlyView.ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
iMetaMed, EarlyView.Applying single‐cell RNA‐seq techniques to large‐scale clinical phenotypic data enables the discovery of differential disease progression trajectories and the construction of data‐driven progression scores. These can then be integrated into precision medicine studies to investigate the drivers of patient‐specific disease outcomes. ABSTRACT We propose a
Christian Anderson +11 more
wiley +1 more source
JCPP Advances, EarlyView.Thick red line indicates positive mixture effect of stressors predicting high irritability class. Maternal demoralization, material hardship, maternal perceived stress, and intimate partner violence contributed to the mixture effect (thick borders on boxes).
Mariah DeSerisy +8 more
wiley +1 more source
Corrigendum: Modified quantile regression for modeling the low birth weight
Frontiers in Applied Mathematics and Statistics, 2023 Ferra Yanuar +2 more
doaj +1 more source
On Bayesian quantile regression and outliers
, 2016 In this work we discuss the progress of Bayesian quantile regression models since their first proposal and we discuss the importance of all parameters involved in the inference process. Using a representation of the asymmetric Laplace distribution as a mixture of a normal and an exponential distribution, we discuss the relevance of the presence of a ...
Santos, Bruno, Bolfarine, Heleno
openaire +2 more sources