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Real-time semiparametric regression
Approximate Bayesian inference Generalized additive models Meaneld vari-ational Bayes Mixed models Online variational Bayes Penalized splines Wavelets
2012/11/22
We develop algorithms for performing semiparametric regression analysis in real time, with data processed as it is collected and made immediately available via modern telecommunications technologies. ...
Negative Binomial Process Count and Mixture Modeling
Negative Binomial Process Count and Mixture Modeling
2012/11/22
The seemingly disjoint problems of count and mixture modeling are united under the negative binomial (NB) process. We reveal relationships between the Poisson, multinomial, gamma and Dirichlet distrib...
Replicability analysis for Genome-wide Association studies
Replicability analysis Genome-wide Association studies
2012/11/22
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Publ...
Likelihood Estimation with Incomplete Array Variate Observations
Likelihood Estimation Incomplete Array Variate Observations
2012/11/22
Missing data estimation is an important challenge with high-dimensional data arranged in the form of an array.In this paper we propose a probability model for partially observed multi-way array data. ...
TIGER: A Tuning-Insensitive Approach for Optimally Estimating Gaussian Graphical Models
TIGER Tuning-Insensitive Approach Optimally Estimating Gaussian Graphical Models
2012/11/22
We propose a new procedure for estimating high dimensional Gaussian graphical models. Our approach is asymptotically tuning-free and non-asymptotically tuning-insensitive: it requires very few efforts...
On the impossibility of constructing good population mean estimators in a realistic Respondent Driven Sampling model
impossibility constructing good population mean estimators realistic Respondent Driven Sampling model
2012/11/22
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
Nonconcave Penalized Spline
Splines Nonparametric regression Non-concave penalized least square Power-basis Knots selection Additive model.
2012/11/22
Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-concave Penalized Regres...
We propose a class of nonparametric point estimators for $\theta=P(X
A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation
Edge preserving smoother Semiparametric mixture model Partition of unity MISE Variational optimization Thin Plate Splines Spectral embedding Local template mod-els Multiple hypothesis testing.
2012/11/22
This paper investigates a fully unsupervised statistical method for edge preserving image restoration and compression using a spatial decomposition scheme. Smoothed maximum likelihood is used for loca...
Spline Smoothing for Estimation of Circular Probability Distributions via Spectral Isomorphism and its Spatial Adaptation
Non-parametric density estimation circular data Smoothing Spline empirical Fourier coeffcients Fourier Basis Detection of Localisation Edge preserving function estima-tion
2012/11/22
Consider the problem when $X_1,X_2,..., X_n$ are distributed on a circle following an unknown distribution $F$ on $S^1$. In this article we have consider the absolute general set-up where the density ...
We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representi...
Identification and well-posedness in nonparametric models with independence conditions
Identification well-posedness nonparametric models independence conditions
2012/11/22
This paper provides a nonparametric analysis for several classes of models, with cases such as classical measurement error, regression with errors in variables, factor models and other models that may...
Restricting exchangeable nonparametric distributions
Restricting exchangeable nonparametric distributions
2012/11/22
Distributions over exchangeable matrices with infinitely many columns, such as the Indian buffet process, are useful in constructing nonparametric latent variable models. However, the distribution imp...
Spatial two tissue compartment model for DCE-MRI
Gaussian Markov randomelds hierarchical Bayesia nmodel multi-compartment models nonlinear regression oncology spatial regularisation
2012/11/22
In the quantitative analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) compartment models allow to describe the uptake of contrast medium with biological meaningful kinetic par...
近日，浙江大学出版社编制出台《学术著作出版规范》，针对学术著作出版的过程，对书稿的格式、要素、流程和版式等方面提出明确要求。据了解，这是我国出版社出台的第一部学术著作出版规范，将于2012年4月1日起在浙大出版社试行。