Search Results - subject:"Normalizing constant"

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Spanning tree constrained determinantal point processes are hard to (approximately) evaluate

Matsuoka, Tatsuya; Ohsaka, Naoto - In: Operations research letters 49 (2021) 3, pp. 304-309

Persistent link: https://www.econbiz.de/10012591613

Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes

Hardouin, Cécile; Guyon, Xavier - In: Computational Statistics 29 (2014) 6, pp. 1637-1650

This paper presents different recursive formulas for computing the marginals and the normalizing constant of a Gibbs …

Persistent link: https://www.econbiz.de/10011151869

Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants

Jin, Ick Hoon; Liang, Faming - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 402-416

Statistical inference for the models with intractable normalizing constants has attracted much attention. During the past two decades, various approximation- or simulation-based methods have been proposed for the problem, such as the Monte Carlo maximum likelihood method and the auxiliary...

Persistent link: https://www.econbiz.de/10010871467

On standardizing the signed root log likelihood ratio statistic

Jiang, L.; Wong, A.C.M. - In: Statistics & Probability Letters 82 (2012) 4, pp. 833-839

normalizing constant of the p∗ formula for the scalar parameter model is derived. By change of variables, the mean and variance of …A simple connection between the Bartlett adjustment factor of the log likelihood ratio statistic and the normalizing … constant of the p∗ formula–an approximate conditional density for the maximum likelihood estimate given an exact or an …

Persistent link: https://www.econbiz.de/10011039873