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Analysis of Partially Observed Networks via Exponential-family Random Network Models
Analysis Partially Observed Networks via Exponential-family Random Network Models
2013/4/27
Exponential-family random network (ERN) models specify a joint representation of both the dyads of a network and nodal characteristics. This class of models allow the nodal characteristics to be model...
Experimental design for Partially Observed Markov Decision Processes
Experimental design Partially Observed Markov Decision Processes
2012/11/22
This paper deals with the question of how to most effectively conduct experiments in Partially Observed Markov Decision Processes so as to provide data that is most informative about a parameter of in...
Inventory Management with Partially Observed Nonstationary Demand
Inventory management Markov modulated Poisson process hidden Markov model partially observable demand censored demand.
2012/9/14
We consider a continuous-time model for inventory management with Markov mod-ulated non-stationary demands. We introduce active learning by assuming that the state of the world is unobserved and must ...
Understanding how far information, behaviors, or pathogens spread in social networks is an important problem, having implications for both predicting the size of epidemics, as well as for planning e e...
Inference for Partially Observed Multitype Branching Processes and Ecological Applications
Parametric inference Incomplete data Multitype branchingprocesses ecology
2010/3/18
Multitype branching processes with immigration in one type are
used to model the dynamics of stage-structured plant populations.
Parametric inference is first carried out when count data of all type...