1![15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary 15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary](https://www.pdfsearch.io/img/d6c5b2cf5222255c03953e81967f99dd.jpg) | Add to Reading ListSource URL: nitro.biosci.arizona.eduLanguage: English - Date: 2000-02-05 10:21:54
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2![Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd. Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.](https://www.pdfsearch.io/img/1ff1b4c5116626aefca1d4b405c75846.jpg) | Add to Reading ListSource URL: www.brodgar.com- Date: 2016-04-29 18:01:14
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3![Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet, Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,](https://www.pdfsearch.io/img/65fd672b30a600b436bbb3a7d180cc41.jpg) | Add to Reading ListSource URL: www.di.ens.fr- Date: 2013-09-09 15:02:53
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4![R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I](https://www.pdfsearch.io/img/f0b3936be8a148bd2cefc646972d5ec6.jpg) | Add to Reading ListSource URL: personality-project.org- Date: 2006-02-04 19:43:56
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5![Submitted to the Annals of Statistics arXiv:1608.03913v1 [math.ST] 12 Aug 2016 POSTERIOR CONTRACTION AND CREDIBLE SETS FOR MULTIVARIATE REGRESSION MODE WITH Submitted to the Annals of Statistics arXiv:1608.03913v1 [math.ST] 12 Aug 2016 POSTERIOR CONTRACTION AND CREDIBLE SETS FOR MULTIVARIATE REGRESSION MODE WITH](https://www.pdfsearch.io/img/c11dff71b52e04054a5c0326e35e1f23.jpg) | Add to Reading ListSource URL: arxiv.org- Date: 2016-08-15 20:23:25
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6![– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT – the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT](https://www.pdfsearch.io/img/6f323de29cde89815a5b11c5bc3588dd.jpg) | Add to Reading ListSource URL: wp.nyu.eduLanguage: English - Date: 2016-08-16 16:20:31
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8![Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute](https://www.pdfsearch.io/img/90456f344d39c6dcf17a0062b836c6b5.jpg) | Add to Reading ListSource URL: www.cs.toronto.eduLanguage: English - Date: 2005-01-07 15:34:20
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9![Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection](https://www.pdfsearch.io/img/59969d86921ba15780f59ff3b15a164d.jpg) | Add to Reading ListSource URL: pmg.it.usyd.edu.auLanguage: English - Date: 2011-10-04 00:04:53
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