Results 101 to 110 of about 7,749,372 (301)
Hierarchical Dynamic Beta Model
Revstat Statistical Journal, 2016 We develop a hierarchical dynamic Bayesian beta model for modelling a set of time series of rates or proportions. The proposed methodology enables to combine the information contained in different time series so that we can describe a common underlying ...
Cibele Queiroz Da-Silva +1 more
doaj +1 more source
Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]
, 2008 In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
core +1 more source
Advanced Science, EarlyView.Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Bayesian hierarchical analysis on crash prediction models [PDF]
, 2008 Traditional crash prediction models, such as generalized linear regression models, are incapable of taking into account the multilevel data structure, which extensively exists in crash data. Disregarding the possible within-group correlations can lead to
Huang, Helai +2 more
core +1 more source
Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful
, 2021 Publisher Copyright: © 2022 International Society for Bayesian AnalysisStacking is a widely used model averaging technique that asymptotically yields optimal predictions among linear averages. We show that stacking is most effective when model predictive
Yao, Yuling +8 more
core +1 more source
Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates
Advanced Science, EarlyView.Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta +3 more
wiley +1 more source
Comparison between the Bayesian hierarchical log5 models and the generalized log5 models.
, 2018 Comparison between the Bayesian hierarchical log5 models and the generalized log5 models.
Woojin Doo (5866541) +1 more
core +1 more source
Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies
Advanced Science, EarlyView.This work presents a multi‐scale framework for flavonoid‐mediated drought tolerance in staple food crops, integrating ROS redox regulation, antioxidant defense, rhizosphere microbial interactions, and sustainable agronomic practices. This interdisciplinary model provides core insights to develop climate‐resilient cropping systems and enhance global ...
Xiaoyi Duan +5 more
wiley +1 more source
Prior distributions for variance parameters in hierarchical models [PDF]
Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core +2 more sources
dockerHDDM: A User-Friendly Environment for Bayesian Hierarchical Drift-Diffusion Modeling
Advances in Methods and Practices in Psychological ScienceDrift-diffusion models (DDMs) are pivotal in understanding evidence-accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry. Hierarchical DDMs (HDDMs), a Python library for hierarchical Bayesian
Wanke Pan +6 more
doaj +1 more source