Interval estimation for bivariate t-copulas via Kendall’s tau Liang Peng∗ and Ruodu Wang† February 21, 2014 Abstract

Source URL: sas.uwaterloo.ca

• Statistics
• Estimation theory
• M-estimators
• Probability distributions
• Actuarial science
• Copula
• Maximum likelihood estimation

Training Restricted Boltzmann Machines using Approximations to the Likelihood Gradient Tijmen Tieleman Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada

Source URL: www.cs.utoronto.ca

Maximum likelihood estimation of a multidimensional logconcave density Madeleine Cule and Richard Samworth† University of Cambridge, UK and Michael Stewart University of Sydney, Australia

Source URL: www.statslab.cam.ac.uk

Robust Structural Metric Learning Daryl K. H. Lim Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Brian McFee

Source URL: bmcfee.github.io

• Statistics
• Information science
• Information retrieval
• Machine learning
• Learning to rank
• Monotone likelihood ratio
• K-nearest neighbors algorithm
• Random sample consensus

Supplementary Material for: Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models Lee H. Dicker Rutgers University

Source URL: jmlr.org

Estimation of migration rates and population sizes in geographically structured populations Peter Beerli Department of Genetics, University of Washington, Seattle WA, USA The estimation of population parameter

Source URL: evolution.genetics.washington.edu

• Population genetics
• Coalescent theory
• F-statistics
• Effective population size
• Statistical population
• Maximum likelihood estimation
• L-estimator
• Estimation theory
• Fixation index
• Isolation by distance

Astronomy & Astrophysics manuscript noDOI: will be inserted by hand later) September 12, 2006 Unbinned maximum-likelihood estimators for low-count data

Source URL: www.astropa.unipa.it

North American Public Avalanche Danger Scale Avalanche danger is determined by the likelihood, size and distribution of avalanches. 5 Extreme 4 High

Source URL: www.avalanche.org

Overview Regression Definition, Loss function, Quadratic Loss, Linear Loss, Robustness Risk Functionals Expected, Empirical, and Regularized Risk Maximum Likelihood Estimation

Source URL: alex.smola.org

Collective Noise Contrastive Estimation for Policy Transfer Learning Weinan Zhang† , Ulrich Paquet‡ , Katja Hofmann‡ † University College London, ‡ Microsoft Research

Source URL: www.ulrichpaquet.com

• Maximum likelihood estimation
• Loss function
• Likelihood function
• Supervised learning
• Machine learning
• Applied mathematics
• Cognition
• Cognitive science