The Five Cs What does a lender look at when I apply for a loan? Though the specifics vary by type of loan and by lender, there are five factors that will influence your likelihood of getting a loan and the kind of terms

Source URL: sos.ri.gov

Errata Introduction to Probability, 2nd Edition Dimitri P. Bertsekas and John N. Tsitsiklis Athena Scientific, 2008 (last updated) • p. 79, line −2: Change “Polish” to “Prussian”

Source URL: athenasc.com

• Statistics
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• Probability distributions
• Bayesian statistics
• Confidence interval
• Measurement
• Quantitative marketing research
• Likelihood function
• Normal distribution
• Gamma distribution
• Generalised Hough transform

On the Equivalence of the KMV and Maximum Likelihood Methods for Structural Credit Risk Models Jin-Chuan Duan, Genevi`eve Gauthier and Jean-Guy Simonato∗ November 30, 2004 Abstract

Source URL: www.rmi.nus.edu.sg

Jackknife Empirical Likelihood Methods for Risk Measures and Related Quantities Liang Peng1 , Yongcheng Qi2 , Ruodu Wang1 and Jingping Yang3 Abstract The quantification of risks is of importance in insurance. In this pap

Source URL: sas.uwaterloo.ca

• Mathematical analysis
• Statistics
• Analysis
• Probability distributions
• Gamma distribution
• Distribution
• Confidence interval
• Differential forms on a Riemann surface
• M-estimator

Iterative Maximum Likelihood on Networks Elchanan Mossel∗ and Omer Tamuz† arXiv:0904.4903v2 [math.ST] 4 MayMay 4, 2009

Source URL: people.hss.caltech.edu

• Estimation theory
• Statistical theory
• Estimator
• Bias of an estimator
• Variance
• Efficient estimator
• Minimum-variance unbiased estimator
• Efficiency
• Normal distribution
• Maximum likelihood estimation
• Consistent estimator
• Generalized least squares

Competing process hazard function models for player ratings in ice hockey

Source URL: www-stat.wharton.upenn.edu

• Statistics
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• Statistical models
• Probability distributions
• Estimation theory
• Regression analysis
• Normal distribution
• Bayesian network
• Maximum likelihood estimation
• Linear regression
• Conjugate prior
• Parameter

An EM-Algorithm for Maximum Likelihood Estimation of Vector Autoregressions with Mixed Frequency Data J¨urgen Antony∗ and Torben Klarl† February 13, 2016 Abstract

Source URL: www.wiwi.uni-augsburg.de

• Statistics
• Estimation theory
• Statistical inference
• Robot control
• Kalman filter
• Maximum likelihood estimation
• Expectationmaximization algorithm
• Exponential family
• Principal component analysis
• Confidence interval
• Draft:Pirate programming

Downloaded from rspa.royalsocietypublishing.org on May 8, 2014 Optimally designing games for behavioural research Anna N. Rafferty, Matei Zaharia and Thomas L. Griffiths Proc. R. Soc. A, , published 7 M

Source URL: cocosci.berkeley.edu

• Statistical theory
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• Design of experiments
• Industrial engineering
• Statistical methods
• Bayesian experimental design
• Likelihood function
• Maximum likelihood estimation
• Mode
• Optimal design

Maximum Likelihood Remission Calibration for Groups of Heterogeneous Laser Scanners Bastian Steder Michael Ruhnke

Source URL: europa2.informatik.uni-freiburg.de

• Optics
• Light
• Accuracy and precision
• Calibration
• Measurement
• Metrology
• Standards
• 3D scanner
• Laser
• Lidar
• Velodyne Inc.
• Robot calibration

Jackknife Empirical Likelihood for Parametric Copulas Ruodu Wang∗, Liang Peng†and Jingping Yang‡ July 10, 2012 Abstract

Source URL: sas.uwaterloo.ca

• Statistics
• Estimation theory
• Statistical theory
• Maximum likelihood estimation
• Copula
• Multiplier
• Likelihood function
• Confidence interval