نتایج جستجو برای: residual test approximate maximum likelihood rt aml

تعداد نتایج: 1335768  

2012
M. J. Levin M. J. LEVIN

An asymptotic analysis is carried out for an approximate method of estimating the parameters of the power spectrum of a zero-mean stationary Gaussian random process from an observed realization of limited duration. Maximum likelihood estimates are obtained with the approximation that the coefficients of the Fourier series expansion of the realization are uncorrelated. This is equivalent to othe...

2012
F. J. Rubio Adam M. Johansen

Approximate Bayesian Computation (ABC) may be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step. Considering the first step as an explicit approximation of the likelihood allows, also, maximum-likelihood (or maximum-aposteriori) inference to be conducted, approximately, using essentially the same techniques. Such an approach is developed...

Journal: :SIAM Journal on Computing 1989

2015
Paul Kvam Harshinder Singh Ram C. Tiwari Paul H. Kvam

We derive the nonparametric maximum likelihood estimator (NPMLE) of the distribution of the test items using a random, right-censored sample combined with an additional right-censored, residual-lifetime sample in which only lifetimes past a known, fixed time are collected. This framework is suited for samples for which individual test data are combined with left-truncated and randomly censored ...

2017
Mohamed Rasheed

Nonlinear stochastic parametric models are widely used in various fields. However, for these models, the problem of maximum likelihood identification is very challenging due to the intractability of the likelihood function. Recently, several methods have been developed to approximate the analytically intractable likelihood function and compute either the maximum likelihood or a Bayesian estimat...

2008
Shotaro Akaho Kazuya Takabatake

The contrastive divergence(CD) method proposed by Hinton finds an approximate solution of the maximum likelihood of complex probability models. It is known empirically that the CD method gives a high-quality estimation in a small computation time. In this paper, we give an intuitive explanation about the reason why the CD method can approximate well by using the information geometry. We further...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2013
Farideh Miraki-Moud Fernando Anjos-Afonso Katharine A Hodby Emmanuel Griessinger Guglielmo Rosignoli Debra Lillington Li Jia Jeff K Davies Jamie Cavenagh Matthew Smith Heather Oakervee Samir Agrawal John G Gribben Dominique Bonnet David C Taussig

Acute myeloid leukemia (AML) induces bone marrow (BM) failure in patients, predisposing them to life-threatening infections and bleeding. The mechanism by which AML mediates this complication is unknown but one widely accepted explanation is that AML depletes the BM of hematopoietic stem cells (HSCs) through displacement. We sought to investigate how AML affects hematopoiesis by quantifying res...

1998
Vanessa Didelez Iris Pigeot

In this paper we discuss maximum likelihood estimation when some observations are missing in mixed graphical interaction models assuming a conditional Gaussian distribution as introduced by Lauritzen & Wermuth (1989). For the saturated case ML estimation with missing values via the EM algorithm has been proposed by Little & Schluchter (1985). We expand their results to the special restrictions ...

ژورنال: اندیشه آماری 2014

In this article introduce the sequential order statistics. Therefore based on multiply Type-II censored sample of sequential order statistics, Bayesian estimators are derived for the parameters of one- and two- parameter exponential distributions under the assumption that the prior distribution is given by an inverse gamma distribution and the Bayes estimator with respect to squared error loss ...

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