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Regression analysis
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#	Item
381	KI Visibility Amplitude (V2) Data Reduction Guide Rachel Akeson and Rafael Millan-Gabet Michelson Science Center version 1.0 March Add to Reading List Source URL: nexsci.caltech.edu Language: English - Date: 2015-12-01 16:40:41 Robust statistics Regression analysis Means Median Calibration
382	An Introduction to Partial Least Squares Regression Randall D. Tobias, SAS Institute Inc., Cary, NC Abstract Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Regression analysis Multivariate statistics Econometrics Psychometrics Statistical methods Partial least squares regression Structural equation modeling Chemometrics Linear regression Least squares Latent variable Degrees of freedom
383	Linear Equations Stephen Boyd EE103 Stanford University October 7, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-10-07 23:56:46 Differential calculus Mathematical analysis Group theory Vector space Vectors Derivative Linear equation Affine transformation Linear function Linear algebra Linear regression
384	Chapter 4 O verf itt ing Avoi dance i n Regressi on Trees This chapter describes several approaches that try to avoid overfitting of the training data with too complex trees. In the context of tree-based models these str Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Decision trees Pruning Decision tree learning Regression analysis Gradient boosting
385	CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA BERKELEY WORKING PAPER NO. 55 ASSESSING COUNTERFACTUALS WHEN TREATMENT IS MULTIVALUED* Jochen Kluve Add to Reading List Source URL: cle.berkeley.edu Language: English - Date: 2002-10-15 17:12:55** Econometrics Design of experiments Observational study Causal inference Regression analysis Propensity score matching Average treatment effect Instrumental variable Matching Counterfactual conditional Randomized experiment Ignorability
386	Journal of Machine Learning Research 18:199–213, 2012 Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2 Add to Reading List Source URL: jmlr.org Language: English - Date: 2012-06-01 11:02:19 Statistical classification Collective intelligence Recommender systems Collaboration Model selection Cross-validation Collaborative filtering Netflix Prize Support vector machine Cold start Regression analysis Star
387	Bus Travel Time Prediction under High Variability Conditions Kranthi Kumar Reddy Graduate Student Department of Civil Engineering Indian Institute of Technology Madras Add to Reading List Source URL: www.currentscience.ac.in Language: English - Date: 2016-07-11 02:36:02 Statistical classification Regression analysis Support vector machine Cross-validation Prediction Variance On-time performance Linear regression Autoregressive model Mean absolute percentage error Bus stop Machine learning
388	Context-Aware Online Spatiotemporal Traffic Prediction Jie Xu1 , Dingxiong Deng2 , Ugur Demiryurek2 ,Cyrus Shahabi2 , Mihaela van der Schaar1 Department of Electrical Engineering, University of California, Los Angeles1 D Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2016-05-21 03:16:37 Econometrics Online machine learning Regression analysis Machine learning Traffic flow Artificial neural network Unit-weighted regression
389	ECONOMETRIC ESTIMATION OF FORESIGHT: TAX POLICY AND INVESTMENT IN THE UNITED STATES Douglas G. Steigerwald and Charles Stuart* Abstract —We develop a method for measuring the foresight agents have. We first dichotomize Add to Reading List Source URL: econ.ucsb.edu Language: English - Date: 2011-06-16 18:28:57 Regression analysis Time series analysis Expected value Autoregressive conditional heteroskedasticity Instrumental variable Normal distribution Martingale Stochastic programming Separation of variables
390	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Data-Driven Anytime Algorithms for Motion Planning with Safety Guarantees Jha, D.; Zhu, M.; Wang, Y.; Ray, A. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-07 10:54:20 Statistical inference Econometrics Computational statistics Estimation theory Normal distribution Kalman filter Bootstrapping Regression analysis Statistics Expected value Confidence interval Least squares

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