A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention. [PDF]
Akwiwu EU +3 more
europepmc +1 more source
Introduction to Hidden Semi-Markov Models
John van der Hoek, Robert J. Elliott
openaire +2 more sources
Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. [PDF]
Dheeraj Kashyap L +4 more
europepmc +1 more source
The occurrence of a particular state is a predictor of successful travel consultation. [PDF]
Honda H +5 more
europepmc +1 more source
A longitudinal study on late-life depression using Hidden Markov Models
openI modelli di Markov nascosti (Hidden Markov Models, HMMs) sono modelli probabilistici molto flessibili, introdotti negli anni ’60 e divenuti popolari nell’analisi delle serie storiche, grazie alla loro capacità di modellare efficacemente dinamiche ...
PILEGGI, SILVIA
core
A minimal chemo-mechanical Markov model for rotary catalysis of F<sub>1</sub>-ATPase. [PDF]
Chen Y, Grubmüller H.
europepmc +1 more source
Unifying Repbase and Dfam: a new open foundation for transposable element research. [PDF]
Kojima KK +7 more
europepmc +1 more source
On-line apnea-bradycardia detection using hidden semi-Markov models.
Altuve M +4 more
europepmc +1 more source
Determinants of stunting among under-five children in Amhara and Oromia regions, Ethiopia: the linear quantile regression analysis. [PDF]
Wachifo DD, Debeko DD, Asfaw ZG.
europepmc +1 more source
An Overview and Recent Developments in the Analysis of Multistate Processes. [PDF]
Gorfine M +8 more
europepmc +1 more source

