搜索结果: 1-15 共查到“统计学其他学科 Multiple”相关记录17条 . 查询时间(0.237 秒)
Risk Prediction of a Multiple Sclerosis Diagnosis
Risk Prediction a Multiple Sclerosis Diagnosis
2013/4/27
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disabling disease. Altho...
Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization
Data Representation Nonnegtive Matrix Factorization Graph Regularization Multiple Kernel Learning.
2012/9/18
Nonnegative Matrix Factorization (NMF) has been contin-uously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank ...
Mark-Recapture with Multiple Non-invasive Marks
Latent multinomial model Mark-recapture Multiple marks Non-invasive marks Photo-identi cation Whale sharks
2012/9/17
Non-invasive marks including pigmentation patterns, acquired scars, and genetic markers, are often used to identify individuals in mark-recapture exper-iments. Such data present new statistical challe...
Rejoinder to "Multiple Testing for Exploratory Research"
Rejoinder "Multiple Testing for Exploratory Research"
2012/9/17
We are thankful to the three discussants for their helpful and stimulating comments to our work. We value especially the many suggestions for extensions of the methodology given by all three discussan...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
Closure-based multiple testing procedures for con-trolling the familywise error rate (FWER) have been around for decades, but they have not been well un-derstood, and hence have been under-appreciated...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
I want to congratulate the authors on this thought-provoking and important paper on multiple testing in exploratory settings.Standard Multiple Testing procedures can appear very mechanistic. Hypothese...
Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari
Discussion "Multiple Testing for Exploratory Research" Goeman A. Solari
2012/9/17
Goeman and Solari [Statist. Sci.26 (2011) 584–597] have addressed the interesting topic of multiple testing for exploratory re-search, and provided us with nice suggestions for exploratory analysis.Th...
Multiple Testing for Exploratory Research
Closed testing confidence set false discovery proportion
2012/9/17
Motivated by the practice of exploratory research, we for-mulate an approach to multiple testing that reverses the conventional roles of the user and the multiple testing procedure. Traditionally, the...
Parameter-Free High-Dimensional Screening Using Multiple Grouping of Variables
Parameter-Free High-Dimensional Screening Multiple Grouping Variables
2012/9/17
Screening is the problem of estimating a superset of the set of non-zero entries in an unknownp-dimensional vector β given nnoisy observations. In the high-dimensional regime, where p > n, screening a...
Local stability of Belief Propagation algorithm with multiple fixed points
Local stability Belief Propagation algorithm multiple fixed points
2012/9/19
A number of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov random field. Belief propagation, an iterative message-pass...
Sequential detection of multiple change points in networks: a graphical model approach
Sequential detection of multiple change points in networks graphical model approach
2012/9/19
We propose a probabilistic formulation that enables sequential detection of multiple change points in a network setting. We present a class of sequential detection rules for cer-tain functionals of ch...
Application of Bayesian model inadequacy criterion for multiple data sets to radial velocity models of exoplanet systems
Methods Statistical – Techniques Radial velocities – Stars Individual: GJ 581 HD 217107 υ Andromedae
2011/7/7
We present a simple mathematical criterion for determining whether a given statistical model does not describe several independent sets of measurements, or data modes, adequately. We derive this crite...
The group fused Lasso for multiple change-point detection
Mines ParisTech CBIO, Fontainebleau, France Institut Curie, Paris, France INSERM U900, Paris, France
2011/7/7
We present the group fused Lasso for detection of multiple change-points shared by a set of co-occurring one-dimensional signals.
Strong approximations of level exceedences related to multiple hypothesis testing
false discovery rate family-wise error rate genomic data
2010/10/19
Particularly in genomics, but also in other fields, it has become commonplace to undertake highly multiple Student's $t$-tests based on relatively small sample sizes. The literature on this topic is ...
Sample size and positive false discovery rate control for multiple testing
Multiple hypothesis testing pFDR large deviations
2009/9/16
Positive false discovery rate (pFDR) is a useful overall measure of errors for multiple hypothesis testing, especially when the underlying goal is to attain one or more discoveries. Control of pFDR cr...