79 search results - page 6 / 16 » Imprecise probability models for inference in exponential fa... |
ISIPTA
2003
IEEE
14 years 28 days ago
2003
IEEE
We apply random set theory to an analysis of future climate change. Bounds on cumulative probability are used to quantify uncertainties in natural and socio-economic factors that ...
ISIPTA
2003
IEEE
14 years 28 days ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
UAI
2001
13 years 9 months ago
2001
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
UAI
2008
13 years 9 months ago
2008
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...