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ROBUST DTAGNOSTICS FOR RANK-BASED INFERENCE

by Jtoseph W. Mckean, Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. Mckean, Simon J. Sheather, Thomas P. Hettmansperger, Dfi'ult I Tatri Tnr A , 1988
"... *Research partially supported bv ONR Contract N00014-80-C0741. ..."
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*Research partially supported bv ONR Contract N00014-80-C0741.

Rank-Based Inference Over Web Databases

by unknown authors
"... A fundamental virtue of social media is to build virtual communi-ties between users. As such, it is no surprise that almost all social media sites provide web interfaces for the search and/or recommen-dation of other users who share similar attributes, interests, etc.-with results being the top-k us ..."
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be that tuple ranks alone are not enough to reveal the private attribute values, our investigation shows that this is not the case in reality. Specifically, we define a novel problem of rank based inference, and introduce a taxonomy of the problem space according to two dimensions, (1) the type of query

Rank-Based Inference Over Web Databases

by unknown authors
"... In recent years, there has been much research in the adoption of Ranked Retrieval model (in addition to the Boolean retrieval model) in structured databases, especially those in a client-server environ-ment (e.g., web databases). With this model, a search query re-turns top-k tuples according to not ..."
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In recent years, there has been much research in the adoption of Ranked Retrieval model (in addition to the Boolean retrieval model) in structured databases, especially those in a client-server environ-ment (e.g., web databases). With this model, a search query re-turns top-k tuples according

Semiparametrically efficient rank-based inference for shape I: Optimal rank-based tests for sphericity

by Marc Hallin, Hannu Oja, Davy Paindaveine - Ann. Statist , 2006
"... A class of R-estimators based on the concepts of multivariate signed ranks and the optimal rank-based tests developed in Hallin and Paindaveine [Ann. Statist. 34 (2006)] is proposed for the estimation of the shape matrix of an elliptical distribution. These R-estimators are root-n consistent under a ..."
Abstract - Cited by 48 (32 self) - Add to MetaCart
in the context of R-estimation. Although they are not strictly affine-equivariant, they are shown to be equivariant in a weak asymptotic sense. Simulations confirm their feasibility and excellent finite-sample performances. 1. Introduction. 1.1. Rank-based inference for elliptical families. An elliptical density

The Annals of Statistics SEMIPARAMETRICALLY EFFICIENT RANK-BASED INFERENCE FOR SHAPE I. OPTIMAL RANK-BASED TESTS FOR SPHERICITY

by Marc Hallin, Davy Paindaveine, Université Libre De Bruxelles
"... We propose a class of rank-based procedures for testing that the shape matrix V of an elliptical distribution (with unspecified center of symmetry, scale, and radial density) has some fixed value V0; this includes, for V0 = Ik, the problem of testing for sphericity as an important particular case. T ..."
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We propose a class of rank-based procedures for testing that the shape matrix V of an elliptical distribution (with unspecified center of symmetry, scale, and radial density) has some fixed value V0; this includes, for V0 = Ik, the problem of testing for sphericity as an important particular case

Graphical models, exponential families, and variational inference

by Martin J. Wainwright, Michael I. Jordan , 2008
"... The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fiel ..."
Abstract - Cited by 800 (26 self) - Add to MetaCart
all be understood in terms of exact or approximate forms of these variational representations. The variational approach provides a complementary alternative to Markov chain Monte Carlo as a general source of approximation methods for inference in large-scale statistical models.

The Elements of Statistical Learning -- Data Mining, Inference, and Prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman
"... ..."
Abstract - Cited by 1320 (13 self) - Add to MetaCart
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Searching Distributed Collections With Inference Networks

by James P. Callan, Zhihong Lu, W. Bruce Croft - IN PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL , 1995
"... The use of information retrieval systems in networked environments raises a new set of issues that have received little attention. These issues include ranking document collections for relevance to a query, selecting the best set of collections from a ranked list, and merging the document rankings t ..."
Abstract - Cited by 469 (36 self) - Add to MetaCart
The use of information retrieval systems in networked environments raises a new set of issues that have received little attention. These issues include ranking document collections for relevance to a query, selecting the best set of collections from a ranked list, and merging the document rankings

A Bayesian Framework for the Analysis of Microarray Expression Data: Regularized t-Test and Statistical Inferences of Gene Changes

by Pierre Baldi, Anthony D. Long - Bioinformatics , 2001
"... Motivation: DNA microarrays are now capable of providing genome-wide patterns of gene expression across many different conditions. The first level of analysis of these patterns requires determining whether observed differences in expression are significant or not. Current methods are unsatisfactory ..."
Abstract - Cited by 485 (6 self) - Add to MetaCart
with neighboring genes. An additional hyperparameter, inversely related to the number of empirical observations, determines the strength of the background variance. Simulations show that these point estimates, combined with a t-test, provide a systematic inference approach that compares favorably with simple t

Shape and motion from image streams under orthography: a factorization method

by Carlo Tomasi, Takeo Kanade - INTERNATIONAL JOURNAL OF COMPUTER VISION , 1992
"... Inferring scene geometry and camera motion from a stream of images is possible in principle, but is an ill-conditioned problem when the objects are distant with respect to their size. We have developed a factorization method that can overcome this difficulty by recovering shape and motion under orth ..."
Abstract - Cited by 1090 (39 self) - Add to MetaCart
orthography without computing depth as an intermediate step. An image stream can be represented by the 2FxP measurement matrix of the image coordinates of P points tracked through F frames. We show that under orthographic projection this matrix is of rank 3. Based on this observation, the factorization method
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