Results 21 to 30 of about 19,296,908 (351)
CONSTRUCTING A FLEXIBLE LIKELIHOOD FUNCTION FOR SPECTROSCOPIC INFERENCE [PDF]
, 2014 We present a modular, extensible likelihood framework for spectroscopic inference based on synthetic model spectra. The subtraction of an imperfect model from a continuously sampled spectrum introduces covariance between adjacent datapoints (pixels) into
I. Czekala +4 more
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Asymptotic Likelihood-Based Prediction Functions
Econometrica, 1990 This paper develops asymptotic prediction functions that approximate the shape of the density of future observations and correct for parameter uncertainty. The functions are based on extensions to a definition of predictive likelihood originally suggested by S. L. Lauritzen (1974) and D. Hinkley (1979).
Cooley, Thomas F, Parke, William R
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SPATIAL CLUSTERING USING THE LIKELIHOOD FUNCTION
Conference on Applied Statistics in Agriculture, 2007 Clustering has been widely used as a tool to group multivariate observations that have similar characteristics. However, there have been few attempts at formulating a method to group similar multivariate observations while taking into account their spatial location.
Kerby, April +3 more
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Optimal designs for full and partial likelihood information - with application to survival models [PDF]
, 2015 Time-to-event data are often modelled through Cox's proportional hazards model for which inference is based on the partial likelihood function. We derive a general expression for the asymptotic covariance matrix of Cox's partial likelihood estimator for ...
Konstantinou, Maria +3 more
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Jackknife Empirical Likelihood Inference for the Variance Residual Life Function
Revstat Statistical Journal, 2021 In life testing situations, the residual life time of a component which has survived t units of time is Xt = X −t|X > t. In this paper, we give a central limit theorem result for the estimator of Var(Xt), the variance residual life(VRL) function.
Vali Zardasht
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Algebraic likelihood maximization avoiding the log-likelihood function and differentiation
Research in StatisticsThe fact that the graph of the exponential function exp is always at or above the straight line through the origin with slope exp(1) is well-known and can be easily proved using differential calculus. We provide a simple algebraic proof of that fact and
S. Majumdar
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Evaluation of likelihood functions
Information and Control, 1968 An expression is obtained for the likelihood function for the detection of a stochastic signal (diffusion process) in white noise. A stochastic differential equation is then obtained for the evolution of the likelihood function and the coefficients of this differential equation are related to a corresponding nonlinear filtering problem. Some extensions
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Copula cosmology: Constructing a likelihood function [PDF]
Physical Review D, 2011 To estimate cosmological parameters from a given dataset, we need to construct a likelihood function, which sometimes has a complicated functional form. We introduce the copula, a mathematical tool to construct an arbitrary multivariate distribution function from one-dimensional marginal distribution functions with any given dependence structure. It is
Sato, Masanori +2 more
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Relative likelihood for life as a function of cosmic time [PDF]
, 2016 Is life most likely to emerge at the present cosmic time near a star like the Sun? We address this question by calculating the relative formation probability per unit time of habitable Earth-like planets within a fixed comoving volume of the Universe, dP(
A. Loeb, R. A. Batista, David Sloan
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Bayesian Estimation in Some Power Series Distributions [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 In this paper, we study the Bayesian estimation of functions of parameters of some power series distributions. These estimators are better than the classical minimum variance unbiased estimators (MVUE) as given by Patil and Joshi (1970), in the sense ...
Anwar Hassan +2 more
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