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

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

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

Regularized estimation of image statistics by Score Matching Diederik P. Kingma Department of Information and Computing Sciences Universiteit Utrecht

Source URL: dpkingma.com

• Machine learning
• Statistical models
• Signal processing
• Statistical theory
• Estimation theory
• Maximum likelihood estimation
• Artificial neural network
• Independent component analysis
• Pattern recognition
• Mixture model

Introduction to Time Series Analysis. Lecture 12. Peter Bartlett Last lecture: 1. Parameter estimation 2. Maximum likelihood estimator 3. Yule-Walker estimation

Source URL: www.stat.berkeley.edu

• Statistics
• Estimation theory
• Statistical inference
• Biostatistics
• Confidence interval
• Measurement
• Psephology
• Quantitative marketing research

Maximum Likelihood Parameter Estimation in State-Space Models Arnaud Doucet Department of Statistics, Oxford University University College London

Source URL: events.csml.ucl.ac.uk

Layer-finding in Radar Echograms using Probabilistic Graphical Models David J. Crandall Geoffrey C. Fox School of Informatics and Computing Indiana University {djcran,gcf}@indiana.edu

Source URL: vision.soic.indiana.edu

• Statistics
• Graphical models
• Image segmentation
• Technology
• Maximum likelihood estimation
• Data link layer
• Radar
• Markov random field
• Computing