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math.ST2024
Asymptotic considerations in a Bayesian linear model with nonparametrically modelled time series innovations
Claudia Kirch, Alexander Meier, Renate Meyer +1
This paper considers a semiparametric approach within the general Bayesian linear model where the innovations consist of a stationary, mean zero Gaussian time series. While a param…
stat.ME2024
Zero-inflated Smoothing Spline (ZISS) Models for Individual-level Single-cell Temporal Data
Yifu Tang, Yi Zhang, Yue Wang +2
Recent advancements in single-cell RNA-sequencing (scRNA-seq) have enhanced our understanding of cell heterogeneity at a high resolution. With the ability to sequence over 10,000 c…