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厦门大学青年教师刘婧媛合作论文于Journal of the American Statistical Association在线发表（图）
厦门大学王亚南经济研究院 统计学 基因学 遗传医学
2022/7/7
近日，经济学科青年教师刘婧媛教授，与北京师范大学郭旭副教授，宾夕法尼亚州立大学李润泽教授、曾沐冬博士合作的题为“High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity”的论文在统计学国际顶尖期刊Jo...
The International Chinese Statistical Association (ICSA) is a non-profit organization dedicated to educational, charitable, and scientific purposes. The Association was officially founded at the 1987 ...
Relationships between eigen and complex network techniques for the statistical analysis of climate data
eigen complex network techniques statistical analysis climate data
2013/6/17
Eigen techniques such as empirical orthogonal function (EOF) or coupled pattern (CP) analysis have been frequently used for detecting patterns in multivariate climatological data sets. Recently, stati...
Statistical modelling of summary values leads to accurate Approximate Bayesian Computations
Statistical modelling summary values leads accurate Approximate Bayesian Computations
2013/6/14
Approximate Bayesian Computations (ABC) are considered to be noisy. We show that ABC can be set up to estimate the mode of the true posterior density exactly, or alternatively provide unbiased estimat...
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
The Pythagorean Won-Loss Formula and Hockey: A Statistical Justification for Using the Classic Baseball Formula as an Evaluative Tool in Hockey
The Pythagorean Won-Loss Formula Hockey Statistical Justification Baseball Formula Evaluative Tool
2012/9/17
Originally devised for baseball, the Pythagorean Won-Loss formula estimates the percentage of games a team should have won at a particular point in a season. For decades, this formula had no mathemat...
Statistical inference in compound functional models
Compound functional model minimax estimation sparse additive structure dimen-sion reduction structure adaptation
2012/9/18
We consider a general nonparametric regression model called the compound model. It includes,as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates b...
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior
Image segmentation MM graph cuts energy minimization statistical shape prior kernel density estimation
2012/9/18
Shape-based regularization has proven to be a useful method for delineating objects from the noisy im-ages encountered in many applications when one has prior
knowledge of the shape of the targeted o...
Statistical Inference of Allopolyploid Species Networks in the Presence of Incomplete Lineage Sorting
Allopolyploid hybridization Bayesian phylogenetics network
2012/9/18
Polyploidy is an important speciation mechanism, particularly in land plants. Allopolyploid species are formed after hybridization betweenother-wise intersterile parental species. Recent theoretical p...
Rejoinder to "Statistical Modeling of Spatial Extremes"
Rejoinder "Statistical Modeling of Spatial Extremes"
2012/9/17
We are grateful to the discussants for their posi-tive and interesting comments. In an area moving so rapidly it is to be expected that our review overlooks
some work, and all the contributions helpf...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussion "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan A. C. Davison, S. A. Padoan and M. Ribatet M. Ribatet
2012/9/17
We congratulate the authors for producing such a helpful and comprehensive overview paper of a ra-pidly developing and important area. The starting point for inference in spatial extreme value prob-le...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussion "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan M. Ribatet
2012/9/17
The review paper on spatial extremes by Davison,Padoan and Ribatet is a most welcome contribu-tion. The authors cover quite a lot of ground, mak-ing connections between different approaches while high...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussio "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan M. Ribatet
2012/9/17
We congratulate the authors for their overview paper discussing modeling techniques for spatial ex-tremes. There is great interest in spatial extreme
data in the atmospheric science community, as the...
Statistical Modeling of Spatial Extremes
Annual maximum analysis Bayesian hierar-chical model Brown–Resnick process composite likelihood copula en-vironmental data analysis Gaussian process generalizedextreme-value distribution geostatistics latent variable max-stable process statistics of extremes
2012/9/17
The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood ...
On the future of astrostatistics: statistical foundations and statistical practice
On the future of astrostatistics statistical foundations statistical practice
2012/9/18
This paper summarizes a presentation for a panel discussionon “The Future of Astrostatis-tics” held at the Statistical Challenges in Modern Astronomy Vconference at Pennsylvania State University in Ju...