The Temporal Context in Bayesian Models of Interval Timing: Recent Advances and Future Directions
Sign Up to like & getrecommendations! Published in 2022 at "Behavioral Neuroscience"
DOI: 10.1037/bne0000513
Abstract: Sensory perception, motor control, and cognition necessitate reliable timing in the range of milliseconds to seconds, which implies the existence of a highly accurate timing system. Yet, partly owing to the fact that temporal processing… read more here.
Keywords: bayesian models; interval timing; timing recent; temporal context ... See more keywords
Bayesian variable selection for multistate Markov models with interval-censored data in an ecological momentary assessment study of smoking cessation.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12792
Abstract: The application of sophisticated analytical methods to intensive longitudinal data, collected with ecological momentary assessments (EMA), has helped researchers better understand smoking behaviors after a quit attempt. Unfortunately, the wealth of information captured with EMAs… read more here.
Keywords: ecological momentary; multistate markov; risk factors; markov models ... See more keywords
Sieve estimation of a class of partially linear transformation models with interval-censored competing risks data.
Sign Up to like & getrecommendations! Published in 2023 at "Statistica Sinica"
DOI: 10.5705/ss.202021.0051
Abstract: In this paper, we consider a class of partially linear transformation models with interval-censored competing risks data. Under a semiparametric generalized odds rate specification for the cause-specific cumulative incidence function, we obtain optimal estimators of… read more here.
Keywords: class partially; linear transformation; interval censored; transformation models ... See more keywords