101![Milicreek Township Transects Transect j method of analysis ~yearsanalyzed Milicreek Township Transects Transect j method of analysis ~yearsanalyzed](https://www.pdfsearch.io/img/93ac513414b34b7e62c48eb51b1bfe4b.jpg) | Add to Reading ListSource URL: www.dep.state.pa.usLanguage: English - Date: 2004-12-01 08:47:54
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102![Lawrence Park Township Transects Transect I 2 3 Lawrence Park Township Transects Transect I 2 3](https://www.pdfsearch.io/img/1564f761d5da6e23bf8e66a47fe08fc1.jpg) | Add to Reading ListSource URL: www.dep.state.pa.usLanguage: English - Date: 2004-12-01 08:49:20
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103![Forecasts of Nio-34 SST Anomalies Based on Empirical Mode Reduction Forecasts of Nio-34 SST Anomalies Based on Empirical Mode Reduction](https://www.pdfsearch.io/img/6b7924f2319769b687712fe3dd901dfc.jpg) | Add to Reading ListSource URL: grads.iges.orgLanguage: English - Date: 2008-06-30 12:11:00
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104![Adaptive Piecewise Polynomial Estimation via Trend Filtering Ryan J. Tibshirani Abstract We study trend filtering, a recently proposed tool of Kim et al[removed]for nonparametric regression. The trend filtering estimate Adaptive Piecewise Polynomial Estimation via Trend Filtering Ryan J. Tibshirani Abstract We study trend filtering, a recently proposed tool of Kim et al[removed]for nonparametric regression. The trend filtering estimate](https://www.pdfsearch.io/img/a18d53194ca34d5adc79e7952b56175b.jpg) | Add to Reading ListSource URL: www.stat.cmu.eduLanguage: English - Date: 2014-02-25 08:31:07
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105![Submitted to the Annals of Statistics REGRESSION ON MANIFOLDS: ESTIMATION OF THE EXTERIOR DERIVATIVE∗ By Anil Aswani† , Peter Bickel and Claire Tomlin University of California, Berkeley Submitted to the Annals of Statistics REGRESSION ON MANIFOLDS: ESTIMATION OF THE EXTERIOR DERIVATIVE∗ By Anil Aswani† , Peter Bickel and Claire Tomlin University of California, Berkeley](https://www.pdfsearch.io/img/f96480c1f7c6959ed74d9fb51991cea7.jpg) | Add to Reading ListSource URL: www.stat.berkeley.eduLanguage: English - Date: 2010-04-21 23:34:26
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106![Min-wise hashing for large-scale regression and classification with sparse data arXiv:1308.1269v1 [math.ST] 6 Aug[removed]Rajen D. Shah and Nicolai Meinshausen Min-wise hashing for large-scale regression and classification with sparse data arXiv:1308.1269v1 [math.ST] 6 Aug[removed]Rajen D. Shah and Nicolai Meinshausen](https://www.pdfsearch.io/img/47b4b8ce71a2a405e0f5d850883a6294.jpg) | Add to Reading ListSource URL: stat.ethz.chLanguage: English - Date: 2013-08-22 09:30:09
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107![IMS Lecture Notes–Monograph Series Complex Datasets and Inverse Problems: Tomography, Networks and Beyond Vol[removed]–186 c Institute of Mathematical Statistics, 2007 DOI: [removed]074921707000000148 IMS Lecture Notes–Monograph Series Complex Datasets and Inverse Problems: Tomography, Networks and Beyond Vol[removed]–186 c Institute of Mathematical Statistics, 2007 DOI: [removed]074921707000000148](https://www.pdfsearch.io/img/101d13ca0ad3ac5f4f5ddb32356b38a9.jpg) | Add to Reading ListSource URL: www.stat.berkeley.eduLanguage: English - Date: 2007-07-03 22:40:04
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108![Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University](https://www.pdfsearch.io/img/6bb64e4847184d9fb287979fc80c03f6.jpg) | Add to Reading ListSource URL: www.cs.princeton.eduLanguage: English - Date: 2010-08-18 22:20:55
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109![Package ‘bisoreg’ July 2, 2014 Type Package Title Bayesian Isotonic Regression with Bernstein Polynomials Version 1.1 Date[removed] Package ‘bisoreg’ July 2, 2014 Type Package Title Bayesian Isotonic Regression with Bernstein Polynomials Version 1.1 Date[removed]](https://www.pdfsearch.io/img/94d8bd1645f2182bf2d9659ab479977c.jpg) | Add to Reading ListSource URL: cran.r-project.orgLanguage: English - Date: 2014-07-02 11:21:57
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110![Creating Data Tables and Scatter Plots in Winstats We will construct a scatter plot and line of best fit which requires a two-column data table. Hence we make the selection as shown. More columns and rows are shown than Creating Data Tables and Scatter Plots in Winstats We will construct a scatter plot and line of best fit which requires a two-column data table. Hence we make the selection as shown. More columns and rows are shown than](https://www.pdfsearch.io/img/4bbd349aa44938e169f796f5b0a66a6e.jpg) | Add to Reading ListSource URL: www.ed.gov.nl.caLanguage: English - Date: 2009-03-02 09:56:38
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