Results 61 to 70 of about 23,712,988 (293)

Dirichlet process multi-state mixture models

Computational Statistics & Data Analysis
A Bayesian nonparametric framework is introduced for modeling discretely observed trajectories of continuous-time multi-state processes. By employing Dirichlet Process Mixtures with Markov, inhomogeneous Markov, and semi-Markov kernels, the approach flexibly captures unobserved heterogeneity in the process dynamics.
Rosario Barone, Andrea Tancredi
openaire   +4 more sources

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

Hyperspectral image unmixing using a multiresolution sticky HDP [PDF]

, 2012
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a ...
Hero, Alfred O., Dobigeon, Nicolas, Hero, Alfred, Mittelman, Roni   +3 more
core   +1 more source

Unraveling the Effects of Depolarization in Ultrathin Barium Titanate

Advanced Science, EarlyView.
This article employs synchrotron‐based spectroscopy, time‐resolved electrical measurements, and phase‐field simulations to establish reverse‐domain formation as the mechanism of polarization loss in ultrathin BaTiO3${\rm BaTiO}_3$ films as a critical obstacle to low‐voltage ferroelectric devices.
Thomas Lee, Prabhat Kumar, Christoph Klewe, Pravin Kavle, Padraic Shafer, Zhi (Jackie) Yao, Lane W. Martin   +6 more
wiley   +1 more source

Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling.

PLoS ONE, 2020
Identifying children who are at-risk for developmental delay, so that these children can have access to interventions as early as possible, is an important and challenging problem in developmental research.
Patricia Gilholm, Kerrie Mengersen, Helen Thompson   +2 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Data association load uncertainty and risk aversion in electricity markets with data center participation in the demand response

Energy Reports
Recently, demand response (DR) programs are being promoted in the power market to strengthen the role played by the load side in the power market and to increase the flexibility of loaders to participate in the power market.
Zhuo Wang, Jun Zhang, Jiantao Liu, Jingjing Huang, Guorui Zhu, Chaofan Yu, Hongtao Zhou   +6 more
doaj   +1 more source

A note on posterior sampling from Dirichlet mixture models [PDF]

, 2008
In this note we observe that the recent MCMC methods of Papaspiliopoulos & Roberts (2008) and Walker (2007) for Dirichlet mixture models are intrinsically con- nected and can be naturally combined to yield an algorithm which is better (in terms of ...
Papaspiliopoulos, Omiros
core  

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source