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There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score met...
Ancestral Inference from Functional Data: Statistical Methods and Numerical Examples
comparative analysis Ornstein-Uhlenbeck process non-parametric Bayesian infer-ence functional phylogenetics ancestral reoncon-struction
2012/9/17
Many biological characteristics of evolutionary inter-est are not scalar variables but continuous functions.Here we use phylogenetic Gaussian process regres-sion to model the evolution of simulated fu...
ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
ProDiGe PRioritization Disease Genes multitask machine learning positive unlabeled examples
2011/7/6
Elucidating the genetic basis of human diseases is a central goal of genetics and molecular biology. While traditional linkage analysis and modern high-throughput techniques often provide long lists o...
A bagging SVM to learn from positive and unlabeled examples
A bagging SVM learn from positive unlabeled examples
2010/10/14
We consider the problem of learning a binary classifier from a training set of positive and unlabeled examples, both in the inductive and in the transductive setting. This problem, often referred to a...
Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology
Bayesian computation blocked Gibbs sampler Dirichlet process mixture model inhomogeneous Poisson process
2009/9/24
We discuss Bayesian modelling and computational methods in analysis of indirectly observed spatial point processes. The context involves noisy measurements on an underlying point proces...
Generalized Gamma Convolutions, Dirichlet means, Thorin measures, with explicit examples
Laplace transform Generalized Gamma Convolutions (GGC) Wiener Gamma representation Stieltjes transform Dirichlet processes
2009/5/18
In Section 1, we present a number of classical results concerning the Generalized Gamma Convolution ( : GGC) variables, their Wiener-Gamma representations, and relation with the Dirichlet processes.
...
Some properties of exponential integrals of Levy processes and examples
Generalized Ornstein-Uhlenbeck process L!aev process selfdecomposability
2009/4/23
The improper stochastic integral $Z=int_0^{infty-}exp(-X_{s-})dY_s$ is studied, where ${ (X_t ,Y_t) , t ges 0 }$ is a L'evy process on $R ^{1+d}$ with ${X_t }$ and ${Y_t }$ being $R$-valued and $R ^d$...
Some properties of exponential integrals of Levy processes and examples
properties exponential integrals Levy processes examples
2009/4/3
The improper stochastic integral $Z=int_0^{infty-}exp(-X_{s-})dY_s$ is studied, where ${ (X_t ,Y_t) , t ges 0 }$ is a L'evy process on $R ^{1+d}$ with ${X_t }$ and ${Y_t }$ being $R$-valued and $R ^d$...
Asymptotic Expansion for Stochastic Processes：an Overview and Examples
Asymptotic expansions ε-Markov process Malliavin calculus
2009/3/5
The asymptotic expansion method for ε-Markov processes with a mixing property is briefly reviewed. It is illustrated by a point process marked by a diffusion process. As a typical application, the exp...
THE BREAKDOWN POINT——EXAMPLES AND COUNTEREXAMPLES
equivariance breakdown point robust statistics
2009/2/25
The breakdown point plays an important though at times controversial role in statistics.
In situations in which it has proved most successful there is a group of transformations
which act on the sam...
GLOBAL IMBALANCES AND FINANCIAL REFORM WITH EXAMPLES FROM CHINA
GLOBAL IMBALANCES FINANCIAL REFORM CHINA
2008/11/5
I will focus on a familiar issue, the problem of global current
account imbalances, and will describe how financial sector reform can
help narrow them, using examples from China.
The United States ...