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Normal distribution
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51	H P A R 1O /C9E 9S S E•S S T O C H A S T I C G R O W T LT IPN. Add to Reading List Source URL: njb.fi Language: English - Date: 2015-05-05 06:10:01 Statistics Mathematical analysis Probability Probability distributions Pareto distribution Log-normal distribution Normal distribution Gini coefficient Rank-size distribution Long tail Economic growth Profit
52	Microsoft PowerPoint - Chris Harris CFC 07.ppt Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:46:59 Mathematics Mathematical analysis Probability Probability distributions Rice distribution Normal distribution HullWhite model
53	Data-driven Jump Detection Thresholds for Application in Jump Regressions∗ Robert Davies† and George Tauchen‡ September 17, 2015 Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 00:06:04 Statistics Mathematical analysis Probability Probability distributions Constructible universe Normal distribution Linear regression Beta distribution
54	submitted for publication, July 27, 2008 FAST HIGH PRECISION SUMMATION SIEGFRIED M. RUMP †, Add to Reading List Source URL: www.ti3.tu-harburg.de Language: English - Date: 2008-08-12 08:57:00 Mathematical analysis Complex analysis Pi Kahan summation algorithm Fourier analysis Normal distribution Theta function
55	Supplement for: A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute f Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Mathematical analysis Statistics Probability Probability distributions Variational Bayesian methods Normal distribution Exponentials Special functions Natural logarithm of 2 Exponential family
56	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain
57	Lab Exercise: Samples of a covariance matrix GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Last compiled: February 11, 2015 Problem See class notes tarantola.pdf for background. Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2015-02-11 20:03:06 Statistics Mathematical analysis Probability Covariance and correlation Summary statistics Probability distributions Multivariate statistics Matrices Covariance matrix Covariance Variance Normal distribution
58	Asynchronous Knowledge Gradient Policy for Ranking and Selection Add to Reading List Source URL: informs-sim.org Language: English - Date: 2015-02-05 09:24:44 Statistics Operations research Probability Mathematical analysis Algorithm Mathematical logic Theoretical computer science Selection algorithm Mathematical optimization Simulation Normal distribution Logic simulation
59	LNAIContinuous Time Bayesian Networks for Host Level Network Intrusion Detection Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistics Probability Statistical theory Markov models Statistical models Graphical models Estimation theory Bayesian network Networks Markov chain Normal distribution Expectationmaximization algorithm
60	Identifiability of Age-Dependent Branching Processes from Extinction Probabilities and Number Distributions Pak-Wing Fok & Tom Chou Journal of Statistical Physics Add to Reading List Source URL: udel.edu Language: English - Date: 2013-07-05 09:47:02 Mathematical analysis Probability Analysis Fourier analysis Probability distributions Laplace transform Branching process Normal distribution Convolution