Caricamento...
NONPARAMETRIC INFERENCE FOR MARKOV PROCESSES WITH MISSING ABSORBING STATE
This paper deals with the issue of nonparametric estimation of the transition probability matrix of a non-homogeneous Markov process with finite state space and partially observed absorbing state. We impose a missing at random assumption and propose a computationally efficient nonparametric maximum...
Salvato in:
| Pubblicato in: | Stat Sin |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6740325/ https://ncbi.nlm.nih.gov/pubmed/31516308 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5705/ss.202017.0175 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|