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Smoothing
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#	Item
71	260 Business Intelligence Journal IDENTIFICATION OF DEMAND THROUGH STATISTICAL DISTRIBUTION MODELING FOR IMPROVED DEMAND Add to Reading List Source URL: www.saycocorporativo.com Language: English - Date: 2012-07-16 17:39:04 Statistical forecasting Time series analysis Demand Consumer theory Demand forecasting Forecasting Exponential smoothing Probability distribution Macroeconomic model
72	Unsupervised Metric Learning by Self-Smoothing Operator Jiayan Jiang UCLA Bo Wang University of Toronto Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2011-09-30 15:26:15 Multivariate statistics Geostatistics Dimension reduction Machine learning Dimension Nonlinear dimensionality reduction Diffusion Similarity measure Image segmentation Dimensionality reduction Kernel method K-means clustering
73	Interpreting Translation-Invariant Wavelet Shrinkage as A New Image Smoothing Scale Space Antonin Chambolle1 and Bradley J. Lucier2 (Senior Member, IEEE ) Abstract Coifman and Donoho suggested translation-invariant wavel Add to Reading List Source URL: www.math.purdue.edu Language: English - Date: 2000-09-04 23:06:14 Operator theory Signal processing Timefrequency analysis Functional analysis Wavelets Contraction Heat equation Discrete wavelet transform Operator Limit Differential forms on a Riemann surface Linear temporal logic
74	Eﬃcient Risk Sharing with Limited Commitment and Storage⇤ Árpád Ábrahám† and Sarolta Laczó‡ SeptemberAbstract Add to Reading List Source URL: apps.eui.eu Language: English - Date: 2014-09-22 13:11:39 Consumer behaviour Operations research Decision theory Actuarial science Consumption smoothing Systematic risk Utility Competitive equilibrium Risk Mathematical optimization Expected value Budget constraint
75	SFBThomas Meissner* ECONOMIC RISK Add to Reading List Source URL: sfb649.wiwi.hu-berlin.de Language: English - Date: 2013-10-21 08:56:59 Consumer behaviour Utility Equations Mathematical optimization Consumption smoothing Intertemporal consumption Risk aversion Dynamic programming Economics Optimal capital income taxation Natural borrowing limit
76	March 9, 2012 9:59 WSPCAADAAdvances in Adaptive Data Analysis Vol. 3, No–540 Add to Reading List Source URL: rcada.ncu.edu.tw Language: English - Date: 2012-04-22 23:10:51 Interpolation Signal processing HilbertHuang transform Spline Cubic Hermite spline Smoothing spline Envelope Sinc function Fourier transform
77	Consumption Smoothing, Frequency of Benefit Payments, and Effectiveness of Social Programs Emma Aguila1, Arie Kapteyn2, Francisco Perez-Arce3 Abstract We study the effect of differences in payment frequencies (monthly an Add to Reading List Source URL: cmepr.gmu.edu Language: English - Date: 2015-10-01 13:44:09 Federal assistance in the United States Social programs Welfare economics Financial services Government of Mexico Yucatn Social security Pension Welfare Retirement Oportunidades Social programs in the United States
78	Wavelet Methods for Inverting the Radon Transform with Noisy Data Nam-Yong Lee and Bradley J. Lucier, Senior Member, IEEE Abstract—Because the Radon transform is a smoothing transform, any noise in the Radon data becom Add to Reading List Source URL: www.math.purdue.edu Language: English - Date: 2000-06-13 12:52:29 Signal processing Functional analysis Integral transforms Timefrequency analysis Wavelets Fourier transform Radon transform Fast wavelet transform Distribution Table of stars with Bayer designations Beta distribution
79	Existence and Uniqueness of Penalized Least Square Estimation for Smoothing Spline Nonlinear Nonparametric Regression Models Chunlei Ke and Yuedong Wang ∗ Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2004-03-10 19:42:29 Coil Hand Lion-reclining Owl Quail chick Pool-lake-basin Basket-with-handle Jar stand Mouth Plinth Stool-or-mat Viper
80	Word lengths are optimized for efﬁcient communication Steven T. Piantadosi1, Harry Tily, and Edward Gibson Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MAWe demo Add to Reading List Source URL: tedlab.mit.edu Language: English - Date: 2012-08-09 14:57:02 Computational linguistics Natural language processing Statistical natural language processing Corpus linguistics Language acquisition N-gram Language model KneserNey smoothing Statistical machine translation Collocation Word-sense disambiguation Language