Natural Fission Reactors Other and Older than Oklo: Likelihood and Isotopic Data – a Scenario from Geo(photo)chemistry and Chemical Evolution Stefan Fränzle, IHI (International School) Zittau/Dresden Tech, Markt 23, D

Source URL: isinn.jinr.ru

THE SPEED OF SOCIAL LEARNING MATAN HAREL, ELCHANAN MOSSEL, PHILIPP STRACK, AND OMER TAMUZ Abstract. We consider two Bayesian agents who learn from exogenously provided private signals, as well as the actions of the other

Source URL: people.hss.caltech.edu

• Estimation theory
• Statistical theory
• Statistics
• Bayesian statistics
• Likelihood function
• Statistical inference

Empirical Likelihood Test for High Dimensional Linear Models Liang Peng1 , Yongcheng Qi2 and Ruodu Wang3 January 7, 2014 Abstract We propose an empirical likelihood method to test whether the coefficients in a possibly h

Source URL: sas.uwaterloo.ca

• Statistics
• Statistical theory
• Estimation theory
• Regression analysis
• Probability distributions
• Parametric statistics
• Bayesian statistics
• Normal distribution
• Linear regression
• Likelihood function

Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach Peter Beerli* and Joseph Felsenstein Department of Genetics, University of Washington,

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Statistical genetics
• Estimation theory
• Population genetics
• Coalescent theory
• M-estimators
• Maximum likelihood estimation
• Likelihood-ratio test
• Likelihood function
• Substitution model
• Confidence interval

Social Learning in a Changing World Rafael M. Frongillo∗, Grant Schoenebeck† and Omer Tamuz‡ arXiv:1109.5482v1 [cs.SI] 26 SepSeptember 27, 2011

Source URL: people.hss.caltech.edu

• Statistics
• Estimation theory
• Statistical theory
• Bias of an estimator
• GaussMarkov theorem
• Covariance
• Variance
• Maximum likelihood estimation
• Kalman filter
• Expected value
• Efficiency
• Estimator

Stat Biosci:206–224 DOIs12561Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach Oliver A. Entine · Dylan S. Small · Shane T. Jensen ·

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

• Probability distributions
• Bayesian statistics
• Beta distribution
• Summary statistics
• Mixture model
• Normal distribution
• Prior probability
• Likelihood function
• Mode

Statistica Sinica), MARGINAL LIKELIHOOD FOR DISTANCE MATRICES Peter McCullagh University of Chicago Abstract: A Wishart model is proposed for random distance matrices in which the

Source URL: www.stat.uchicago.edu

FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 2 Department of Electrical Engineering

Source URL: decsai.ugr.es

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Linear algebra
• Bayesian statistics
• Laplace distribution
• Compressed sensing
• Marginal likelihood
• Relevance vector machine
• Bayesian network
• Bayesian inference

Blind restoration of blurred photographs via AR modelling and MCMC

Source URL: decsai.ugr.es

• Mathematical analysis
• Statistics
• Mathematics
• Functional analysis
• Image processing
• Signal processing
• Fourier analysis
• Statistical theory
• Convolution
• Maximum likelihood estimation
• Distribution
• Normal distribution

Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means Ruodu Wang1 , Liang Peng1 and Yongcheng Qi2 Abstract It has been a long history to test the equality of two multivariate means. One popular t

Source URL: sas.uwaterloo.ca

• Covariance and correlation
• Probability distributions
• Stable distributions
• Algebra of random variables
• Covariance
• Multivariate normal distribution
• Estimation of covariance matrices
• Normal distribution
• Multiplier