Modeling and analyzing single-cell multimodal data with deep parametric inference
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad005
Abstract: The proliferation of single-cell multimodal sequencing technologies has enabled us to understand cellular heterogeneity with multiple views, providing novel and actionable biological insights into the disease-driving mechanisms. Here, we propose a comprehensive end-to-end single-cell multimodal… read more here.
Keywords: deep parametric; cell; multimodal data; parametric inference ... See more keywords
Parametric inference for nonsynchronously observed diffusion processes in the presence of market microstructure noise
Sign Up to like & getrecommendations! Published in 2018 at "Bernoulli"
DOI: 10.3150/17-bej962
Abstract: We study parametric inference for diffusion processes when observations occur nonsynchronously and are contaminated by market microstructure noise. We construct a quasi-likelihood function and study asymptotic mixed normality of maximum-likelihood- and Bayes-type estimators based on… read more here.
Keywords: diffusion; microstructure noise; noise; diffusion processes ... See more keywords