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Model-Based Clustering, Discriminant Analysis, and Density Estimation

by Chris Fraley, Adrian E. Raftery - JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION , 2000
"... Cluster analysis is the automated search for groups of related observations in a data set. Most clustering done in practice is based largely on heuristic but intuitively reasonable procedures and most clustering methods available in commercial software are also of this type. However, there is little ..."
Abstract - Cited by 573 (29 self) - Add to MetaCart
Cluster analysis is the automated search for groups of related observations in a data set. Most clustering done in practice is based largely on heuristic but intuitively reasonable procedures and most clustering methods available in commercial software are also of this type. However

Relating density and elastic velocities

by unknown authors
"... Relating density and elastic velocities in clastics: an observation ..."
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Relating density and elastic velocities in clastics: an observation

Relative density

by Chaudhary Mashhood Alama, Choudhary Sharfuddin A, Safdar A
"... silico exploration of th ..."
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silico exploration of th

SPEA2: Improving the Strength Pareto Evolutionary Algorithm

by Eckart Zitzler, Marco Laumanns, Lothar Thiele , 2001
"... The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or approximating the Pareto-optimal set for multiobjective optimization problems. In different studies (Zitzler and Thiele 1999; Zitzler, Deb, and Thiele 2000) SPEA has shown very ..."
Abstract - Cited by 708 (19 self) - Add to MetaCart
The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or approximating the Pareto-optimal set for multiobjective optimization problems. In different studies (Zitzler and Thiele 1999; Zitzler, Deb, and Thiele 2000) SPEA has shown

Alternative isoform regulation in human tissue transcriptomes

by Eric T. Wang, Rickard S, Shujun Luo, Irina Khrebtukova, Lu Zhang, Christine Mayr, Stephen F. Kingsmore, Gary P. Schroth, Christopher B. Burge - Nature , 2008
"... Through alternative processing of pre-mRNAs, individual mammalian genes often produce multiple mRNA and protein isoforms that may have related, distinct or even opposing functions. Here we report an in-depth analysis of 15 diverse human tissue and cell line transcriptomes based on deep sequencing of ..."
Abstract - Cited by 545 (6 self) - Add to MetaCart
Through alternative processing of pre-mRNAs, individual mammalian genes often produce multiple mRNA and protein isoforms that may have related, distinct or even opposing functions. Here we report an in-depth analysis of 15 diverse human tissue and cell line transcriptomes based on deep sequencing

Reversal of fortune: geography and institutions in the making of modern world income,Quarterly

by Daron Acemoglu , Simon Johnson , James A Robinson - Journal of Economics, , 2002
"... Among countries colonized by European powers during the past 500 years, those that were relatively rich in 1500 are now relatively poor. We document this reversal using data on urbanization patterns and population density, which, we argue, proxy for economic prosperity. This reversal weighs against ..."
Abstract - Cited by 450 (31 self) - Add to MetaCart
Among countries colonized by European powers during the past 500 years, those that were relatively rich in 1500 are now relatively poor. We document this reversal using data on urbanization patterns and population density, which, we argue, proxy for economic prosperity. This reversal weighs

Relative Density Estimation With Censored Data

by Ricardo Cao , Paul Janssen, Noël Veraverbeke , 2000
"... Well described tools for comparing two populations via their cumulative distribution functions F and F0 are the so-called relative distribution R (t)=F # F -1 0 (t) # and the corresponding relative density (or grade density) r (t). The authors propose a kerneltype estimator for the relative dens ..."
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Well described tools for comparing two populations via their cumulative distribution functions F and F0 are the so-called relative distribution R (t)=F # F -1 0 (t) # and the corresponding relative density (or grade density) r (t). The authors propose a kerneltype estimator for the relative

Flexible smoothing with B-splines and penalties

by Paul H. C. Eilers, Brian D. Marx - STATISTICAL SCIENCE , 1996
"... B-splines are attractive for nonparametric modelling, but choosing the optimal number and positions of knots is a complex task. Equidistant knots can be used, but their small and discrete number allows only limited control over smoothness and fit. We propose to use a relatively large number of knots ..."
Abstract - Cited by 405 (7 self) - Add to MetaCart
B-splines are attractive for nonparametric modelling, but choosing the optimal number and positions of knots is a complex task. Equidistant knots can be used, but their small and discrete number allows only limited control over smoothness and fit. We propose to use a relatively large number

Relative Density-Ratio Estimation for Robust Distribution Comparison

by Makoto Yamada, Takafumi Kanamori, Taiji Suzuki, Hirotaka Hachiya, Masashi Sugiyama
"... Divergence estimators based on direct approximation of density-ratios without going through separate approximation of numerator and denominator densities have been successfully applied to machine learning tasks that involve distribution comparison such as outlier detection, transfer learning, and tw ..."
Abstract - Cited by 27 (18 self) - Add to MetaCart
, and two-sample homogeneity test. However, since density-ratio functions often possess high fluctuation, divergence estimation is still a challenging task in practice. In this paper, we propose to use relative divergences for distribution comparison, which involves approximation of relative density

Randomized Experiments from Non-random Selection in the U.S. House Elections

by David S. Lee - Journal of Econometrics , 2008
"... This paper establishes the relatively weak conditions under which causal inferences from a regression-discontinuity (RD) analysis can be as credible as those from a randomized experiment, and hence under which the validity of the RD design can be tested by examining whether or not there is a discont ..."
Abstract - Cited by 377 (17 self) - Add to MetaCart
This paper establishes the relatively weak conditions under which causal inferences from a regression-discontinuity (RD) analysis can be as credible as those from a randomized experiment, and hence under which the validity of the RD design can be tested by examining whether or not there is a
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