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We continue the study of the free energy of quantum lattice spin systems where to the local Hamiltonian H an arbitrary mean field term is added, a polynomial function of the arithmetic mean of some lo...
We adress the problem of Laplace deconvolution with random noise in a regression framework. The time set is not considered to be fixed, but grows with the number of observation points. Moreover, the c...
A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classi cation. A variant of the EM algorithm is developed for parameter estimation by exploiting the rel...
In the present paper we consider the problem of Laplace deconvolution with noisy discrete observations. The study is motivated by Dynamic Contrast Enhanced imaging using a bolus of contrast agent, a p...
In the present paper we consider Laplace deconvolution on the basis of discrete noisy data observed on the interval which length may increase with a sample size. Although this problem arises in a vari...
Latent variable models represent a useful tool in the social sciences where the analyzed constructs cannot be directly observed and, hence, they are not measurable. However, a set of indicators rela...
It is shown that the density of the ratio of two Gaussian random variables with the same variance satisfies a non stationary diffusion equation. Implications of this result for kernel density estimati...
Integral expressions for positive-part moments EXp + (p > 0) of random variables X are presented, in terms of the Fourier-Laplace or Fourier transforms of the distribution of X. A necessary and suff...
A bracketing metric entropy bound for the class of Laplace transforms of probability measures on [0,1) is obtained through its connection with the small deviation probability of a smooth Gaussian pr...
It is argued that the posterior predictive distribution for the binomial and multinomial distributions,when viewed via a hypergeometric-like representa- tion, suggests the uniform prior on the param...
The paper deals with non-negative stochastic processes X ( t , a) (t 3 0) with stationary and independent increments, continuous on the right sample functions, non-degenerate to 0, and falling the ...
A Note on the Product of Normal and Laplace Random Variables。
Posterior Distributions for the Laplace Mean Arising from Ratios。
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is also used in Economics, Engineering, Finance and Biology. We show the Anderson-Darling and Cramer-von ...
Flow cytometry scatter are ofen used in microbiology, and their measures are related to bacteria size and granularity. We present an application of the skew-Laplace distribution to flow cytometry data...

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