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Distribution function
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#	Item
841	Center for Research in Financial Mathematics and Statistics (UCSB) Seminar Series (Feb 26, 2007) “Geometries and Smile Asymptotics for a Class of Stochastic Volatility Models” Alan L. Lewis Add to Reading List Source URL: www.optioncity.net Language: English - Date: 2007-02-28 11:39:03 Mathematical analysis Equations Mathematical finance Heat equation Heat transfer Characteristic function Black–Scholes Normal distribution Statistics Stochastic processes Probability theory
842	Kernelized Value Function Approximation for Reinforcement Learning Gavin Taylor Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2009-04-22 16:59:18 Normal distribution Singular value decomposition Least squares Reinforcement learning Gaussian process Proto-value functions Markov decision process Gaussian function Regularization Statistics Mathematics Regression analysis
843	A SIMPLE OPTION FORMULA FOR GENERAL JUMP-DIFFUSION AND OTHER EXPONENTIAL LÉVY PROCESSES ALAN L. LEWIS* Envision Financial Systems and OptionCity.net Add to Reading List Source URL: www.optioncity.net Language: English - Date: 2002-01-19 18:41:38 Probability theory Lévy process Characteristic function Normal distribution Methods of contour integration Fourier transform Gamma process Martingale Brownian motion Statistics Stochastic processes Mathematical analysis
844	The University of Adelaide School of Economics Research Paper No[removed]July 2011 Add to Reading List Source URL: economics.adelaide.edu.au Language: English - Date: 2014-08-10 21:21:47 Markov models Statistical theory Options Normal distribution Markov chain Maximum likelihood Univariate Likelihood function Probability distribution Statistics Mathematical finance Estimation theory
845	1 Chapter 1 Special Distributions 1. Special Distributions Bernoulli, binomial, geometric, and negative binomial Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-20 16:25:45 Stochastic processes Normal distribution Characteristic function Central limit theorem Poisson process Negative binomial distribution Cauchy distribution Multivariate normal distribution Uniform distribution Statistics Probability theory Mathematical analysis
846	Simulation of LIDAR-based aircraft wake vortex detection using a bi-Gaussian spectral model S´ebastien Lugan, Laurent Bricteux, Benoˆıt Macq, Piotr Sobieski and Gr´egoire Winckelmans Universit´e catholique de Louvai Add to Reading List Source URL: damien.douxchamps.net Language: English - Date: 2015-03-29 10:38:29 Aerodynamics Vortex LIDAR Wake turbulence Vorticity Turbulence Gaussian function Vortical Normal distribution Fluid dynamics Fluid mechanics Dynamics
847	Statistics 519, Winter Quarter 2015 Problem Set 6 Problem[removed]points). Let {Xt } be an invertible MA(1) process; i.e., we can write Xt = Zt + θZt−1 , where {Zt } ∼ WN(0, σ 2 ), and \|θ\| < 1. Use the Levinson–Du Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-02-18 11:21:01 Covariance and correlation Signal processing Moving-average model Partial autocorrelation function Estimator Normal distribution Autoregressive model Innovation Statistics Noise Estimation theory
848	Chap.8 Learning and generalization [Book, Chap. 6] Avoid using a model with too little flexibility to model the underlying nonlinear relation adequately (underfitting ), and using a model with too much flexibility, which Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-11-04 00:57:35 Maximum likelihood Mean squared error Likelihood function Standard deviation Kullback–Leibler divergence Expectation–maximization algorithm Statistics Estimation theory Normal distribution
849	MODIS Processing at WASTAC / DLI Satellite Remote Sensing Services Department of Land Information Government of Western Australia Add to Reading List Source URL: www.eoc.csiro.au Language: English - Date: 2004-05-13 22:55:37 Bidirectional reflectance distribution function Electromagnetic radiation Spaceflight Astronomy Moderate-Resolution Imaging Spectroradiometer Radiometry Remote sensing
850	J. R. Statist. Soc. B[removed], Part 2, pp. 243–268 Probabilistic forecasts, calibration and sharpness Tilmann Gneiting, University of Washington, Seattle, USA Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-05-20 22:04:52 Data analysis Statistical inference Probability distributions Decision theory Scoring rule Calibrated geometry Forecasting Cumulative distribution function Prediction interval Statistics Probability and statistics Statistical forecasting

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