Frequentist estimation of an epidemic's spreading potential when observations are scarce
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This paper studies conditional properties of equivariant confidence intervals of a location parameter. The probability of covering the true value of the location parameter conditional on the location-and-scale configuration is computed. Also, the asymptoti ...
This paper presents a method for constructing confidence intervals using the jackknife. Asymptotic expansions are used to assess and reduce the skewness. It is proved that, although the error in the coverage rate remains of order O(1/n) for two-sided inter ...
We find that the probabilistic bound on delay in the article by Goyal et al. in 1997 is incorrect. The problem originates from: 1) the difference between stationary and Palm probabilities and 2) treating the arrival counting process over some random time i ...
The saddlepoint approximation was introduced into statistics in 1954 by Henry E. Daniels. This basic result on approximating the density function of the sample mean has been generalized to many situations. The accuracy of this approximation is very good, p ...
We find that the probabilistic bound on delay in [1] is incorrect. The problem originates from: (1) the difference between stationary and Palm probabilities, and (2) treating the arrival counting process over some random time intervals as if the time inter ...
This paper describe an application of a transductive method for risk mapping which allows to compute the confidence interval of an estimation, without any assumption on data distribution, except identity and independancy of inputs. The method is compared t ...
In this paper we define and investigate a set of confidence measures based on hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) acoustic models. All these measures are using the neural network to estimate the local phone posterior probabilitie ...
This paper describe an application of a transductive method for risk mapping which allows to compute the confidence interval of an estimation, without any assumption on data distribution, except identity and independancy of inputs. The methos reliability i ...
In this paper we define and investigate a set of confidence measures based on hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) acoustic models. All these measures are using the neural network to estimate the local phone posterior probabilitie ...
A total of 826 temperature and shear microstructure profiles, measured during 12 days in March 1996 in Lake Neuchatel (Switzerland), are used to compare estimates of turbulent kinetic energy dissipation, determined by the Batchelor (mu T; temperature) and ...