Results 161 to 170 of about 527,420 (298)
Nonparametric FBST for Validating Linear Models
Physical Sciences ForumIn Bayesian analysis, testing for linearity requires placing a prior to the entire space of potential regression functions. This poses a problem for many standard tests, as assigning positive prior probability to such a hypothesis is challenging.
Rodrigo F. L. Lassance +2 more
doaj +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Bayesian nonparametric inference for heterogeneously mixing infectious disease models. [PDF]
Proc Natl Acad Sci U S A, 2022 Seymour RG, Kypraios T, O'Neill PD.
europepmc +1 more source
A comparison of United States and United Kingdom EQ-5D health states valuations using a nonparametric Bayesian method [PDF]
Few studies have compared preference values of health states obtained in different countries. This paper applies a nonparametric model to estimate and compare EQ-5D health state valuation data obtained from two countries using Bayesian methods.
Kharroubi, SA, Brazier, JE, O'Hagan, A
core
New estimation methods for diagnostic classification models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis. [PDF]
Sci Rep, 2022 Martinez-De la Torre A +3 more
europepmc +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking. [PDF]
Sensors (Basel), 2022 Moraffah B, Papandreou-Suppappola A.
europepmc +1 more source
Survey on Compositional 3D Indoor Scene Generation
Computer Graphics Forum, EarlyView.This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source