Projects funded by the NCN
Stochastic models based on stochastically monotone Markov processes: analysis of stationary conditions.
2011/01/B/ST1/01305
Keywords:
Markov chains speed of convergence to stationarity Moebius monotonicity Moebius function strong stationary times strong stationary dual chains queuing networks Frechet class ARIMA models time series LRD germ-grain models LASSO LARS perfect simulation spectral gap asymptotic variance stochastic orderings of variability Monte Carlo Markov Chains DNA modeling
Descriptors:
- ST1_13: Probability and statistics
- ST1_18: Control theory and optimisation
Panel:
ST1 - Mathematics: all areas of mathematics, pure and applied, as well as mathematical foundations of computer science, physics and statistics
Host institution :
Uniwersytet Wrocławski, Wydział Matematyki i Informatyki
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: OPUS 1 - announced on 2011-03-15
Amount awarded: 145 600 PLN
Project start date (Y-m-d): 2011-12-01
Project end date (Y-m-d): 2013-11-30
Project duration:: 24 months (the same as in the proposal)
Project status: Project settled