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Normal distribution
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361	Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén Add to Reading List Source URL: www.variancejournal.org Language: English - Date: 2008-06-30 10:20:05 Probability distributions Poisson distribution Generalized linear model Normal distribution Exponential family Negative binomial distribution Poisson regression Overdispersion Variance Compound Poisson distribution Mixed logit
362	CASE STUDY III EVALUATING MODEL RISK WITHIN THE BLACK–SCHOLES FRAMEWORK Limiting Model Risk by Add to Reading List Source URL: www.fam.tuwien.ac.at Language: English - Date: 2011-06-28 04:09:58 Mathematical finance Options Statistics Economy Applied mathematics Stochastic processes BlackScholes model Equations Stock market Volatility Normal distribution Brownian motion
363	326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2008-02-28 03:58:00 Statistics Statistical theory Bayesian statistics Conjugate prior Hyperprior Normal distribution Bayesian inference Hyperparameter Bayesian network Prior probability Hidden Markov model Maximum likelihood estimation
364	Statistics and clustering of extreme space climate events Alexander Ruzmaikin Statistics of Large Numbers: LLN, CLT, Gaussian Distribution Add to Reading List Source URL: www.spaceclimate.fi Language: English - Date: 2016-04-02 11:31:09 Probability distributions FisherTippettGnedenko theorem Generalized extreme value distribution Boris Vladimirovich Gnedenko L. H. C. Tippett Normal distribution Extreme value theory Stability postulate
365	2015 IEEE International Conference on Robotics and Automation (ICRA) Washington State Convention Center Seattle, Washington, May 26-30, 2015 Self-tuning M-estimators G. Agamennoni, P. Furgale and R. Siegwart Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2016-01-26 19:52:59 Estimation theory Statistical theory M-estimators Statistical inference Bayesian statistics Maximum likelihood estimation Normal distribution Bayes estimator Efficiency Estimator Marginal likelihood operator
366	APPROXIMATING ORTHOGONAL MATRICES BY PERMUTATION MATRICES Alexander Barvinok October 2005 Abstract. Motivated in part by a problem of combinatorial optimization and in Add to Reading List Source URL: www.math.lsa.umich.edu Language: English - Date: 2005-10-31 12:56:55 Algebra Mathematics Linear algebra Matrices Orthogonal matrix Matrix Permutation matrix Normal distribution Permutation Positive-definite matrix Symmetric matrix Central limit theorem
367	Hilbert Space Embeddings of Hidden Markov Models Le Song Byron Boots Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-07-19 22:00:19 Mathematical analysis Mathematics Algebra Estimation theory Hilbert space Operator theory Markov models Linear algebra Hidden Markov model Normal distribution Expectationmaximization algorithm Speech recognition
368	2016 Biosafety Survey - Summary Report Add to Reading List Source URL: www.absa.org Language: English - Date: 2016-06-02 21:39:11 Statistics Summary statistics Median Standard deviation Deviation Sample maximum and minimum Grading systems by country Normal distribution
369	Statistics 111 Homework 3 - Due in recitation on Friday, February 26th 1. IPS exercise 4.39 pUniversal Blood Donors] 2. IPS exercise 4.126, pAcademic Degrees] 3. Liara, Garrus, and Tali are physicians at th Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-02-10 15:59:08 Statistics Psychometrics Intelligence Probability distribution Normal distribution Standard deviation Statistical hypothesis testing G factor Intelligence quotient
370	IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation Christian Forster∗ , Luca Carlone† , Frank Dellaert† , and Davide Scaramuzza∗ ∗ Robotics and Perception Group, Unive Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-02-09 09:23:19 Mathematical analysis Statistics Probability Control theory Kalman filter Robot control Inertial frame of reference Distribution Skew-symmetric matrix Normal distribution Inertial measurement unit

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