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中山大学岭南学院高级计量经济学课件(I)CH6 Maximum Likelihood Estimation
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise.The aim is to reduce these to standard problems of optimal control which can be solve...
I started looking at log-concave distributions when I was searching for an appropriate model for subpopulations of multivariate flow cytometry data about ten years ago. The use of log-concave ...
Independent Component Analysis (ICA) models are very popular semiparametric models in which we observe independent copies of a random vector $X = AS$, where $A$ is a non-singular matrix and $S$ has in...
Topography and gravity are geophysical fields whose joint statistical structure derives from interface-loading processes modulated by the underlying mechanics of isostatic and flexural compensation in...
In this paper,a systematic study of quantum phase transition within U(5) \leftrightarrow SO(6) limits is presented in terms of infinite dimensional Algebraic technique in the IBM framework. Energy lev...
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. An algebraic elimination criterion allows us to nd exact lower bounds on the number of observations...
In this paper, generalized quasi-likelihood estimation for a Poisson Process model with a dependent structure is developed incorporating knowledge of skewness and kurtosis. This is a generalization of...
Using analytical and numerical methods, estimates are given of future predictions in astrophysics that can be gathered from a sequence of observed events, for example for γ-ray bursts. Some general pr...

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