Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Ritei Shibata"'
Autor:
Yuuki Rikimaru, Ritei Shibata
Publikováno v:
Journal of Statistical Planning and Inference. 173:31-46
A good approximation of the Gaussian likelihood of simultaneous autoregressive (SAR) model is proposed. The approximation yields us an asymptotically efficient estimate of the parameters. No integration of the spectral density nor any other expensive
Autor:
Yuki Sugaya, Ritei Shibata
Publikováno v:
Journal of Statistical Computation and Simulation. 85:2033-2048
An algorithm for functional evaluation of the likelihood of paternal and maternal recombination fractions for pedigree data is proposed. The idea behind the algorithm is that the probability of affected status and certain marker genotypes of ancestor
Publikováno v:
JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 42:185-206
The effect of trawling on seabed fauna in the Northern Prawn Fishery experimental region of Australia is investigated through distributional changes in individual weights for each species. A stochastic growth model is employed to overcome a limited n
Autor:
Ritei Shibata, Natsuhiko Kumasaka
Publikováno v:
Computational Statistics & Data Analysis. 52:3616-3644
The textile plot is a parallel coordinate plot in which the ordering, locations and scales of the axes are simultaneously chosen so that the connecting lines, each of which represents a case, are aligned as horizontally as possible. Plots of this typ
Autor:
Ritei Shibata, Kunihiro Baba
Publikováno v:
Annals of the Institute of Statistical Mathematics. 58:311-326
A multivariate distribution is said to have multiplicative correlation if the correlation matrix R = (rij) is written as rij = δi δj or rij = −δi δj (i ≠ j) for a parameter vector \(\mathbf{\delta}=(\delta_1,\ldots,\delta_n)\). We first deter
Publikováno v:
Australian New Zealand Journal of Statistics. 46:657-664
Summary This paper investigates the roles of partial correlation and conditional correlation as measures of the conditional independence of two random variables. It first establishes a sufficient condition for the coincidence of the partial correlati
Autor:
Shigeo Kamitsuji, Ritei Shibata
Publikováno v:
Asia-Pacific Financial Markets. 10:187-204
Stochastic neural network is a hierarchical network of stochastic neurons which emit 0 or 1 with the probability determined by the values of inputs. We have developed an efficient training algorithm so as to maximize the likelihood of such a neural n
Autor:
Ritei Shibata
Publikováno v:
Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 85:32-38
In regard to the selection criteria of various statistical models based on the Kullback–Leibler information content, their characteristics are compared and the importance of distinguishing the use in terms of the objective is pointed out. In regard
Autor:
Ritei Shibata, Yuuki Rikimaru
Publikováno v:
International Journal of Statistics and Probability. 5:31
Simultaneous spatial autoregressive model is widely used for spatial data analysis, observed at a set of grid points in a space. However a problem, not so well known, is that there exists no unique model unlike time series AR model for given autocova
Publikováno v:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2000:259-263