Correcting for endogeneity using the EMIS method: a case study with revealed preference data Anna Fernández Antolín C. Angelo Guevara-Cue Michel Bierlaire

Source URL: www.strc.ch

• Statistics
• Estimation theory
• Statistical models
• Regression analysis
• Simultaneous equation methods
• Statistical methods
• Control function
• Endogeneity
• Instrumental variable
• Discrete choice
• Linear regression
• Latent variable model

Questions on Howie et alNature Genetics 44:Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. 1. What prompted the need for faster methods for genotype imputati

Source URL: genome.sph.umich.edu

• Biology
• Genetics
• Statistics
• Statistical genetics
• Population genetics
• Imputation
• Missing data
• Statistical analysis
• Genome-wide association study
• Haplotype
• Imputed righteousness
• Computational and Statistical Genetics

Review Daniel S. Wilks’ book Statistical Methods in the Atmospheric Sciences (3rd Edition)

Source URL: www.cleanairjournal.org.za

PCA-enhanced stochastic optimization methods Alina Kuznetsova, Gerard Pons-Moll, and Bodo Rosenhahn⋆ Institute for Information Processing (TNT), Leibniz University Hanover, Germany {kuznetso,pons,rosenhahn}@tnt.uni-han

Source URL: www.tnt.uni-hannover.de

• Statistics
• Applied mathematics
• Numerical analysis
• Metaheuristics
• Computational statistics
• Monte Carlo methods
• Estimation theory
• Statistical mechanics
• Mathematical optimization
• Simulated annealing
• Stochastic optimization
• Gradient descent

INTERNAL DRAFT – NOT FOR PUBLICATION OR DISTRIBUTION Dave Kauchak, Joseph Smarr, Charles Elkan Sources of Success for Information Extraction Methods

Source URL: josephsmarr.com

• Artificial intelligence
• Natural language processing
• Learning
• Information extraction
• Boosting
• Parsing
• Image segmentation
• Statistical classification

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and Function Olivier Faugeras, Geoffray Adde, Guillaume Charpiat, Christophe Che

Source URL: tschumperle.users.greyc.fr

Variational Inference with Normalizing Flows Danilo Jimenez Rezende Shakir Mohamed Google DeepMind, London

Source URL: jmlr.org

• Statistics
• Probability
• Statistical models
• Graphical models
• Probability distributions
• Variational Bayesian methods
• Bayesian network
• Expectationmaximization algorithm
• Normal distribution
• Mixture model
• Exponential family
• Bayesian inference

AWARDS & ANNOUNCEMENTS Dr. Lee Dicker Dense and Sparse Methods in High-Dimensional Data Analysis Many statistical methods for high-dimensional data analysis begin with the assumption that the parameter of interest is, i

Source URL: statistics.rutgers.edu

Statistical Machine Learning UoC Stats 37700, Winter quarter Lecture 7: Kernel methods.

Source URL: users.math.uni-potsdam.de

Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University

Source URL: papers.nips.cc

• Statistics
• Mathematical analysis
• Statistical theory
• Stochastic optimization
• Computational statistics
• Estimation theory
• M-estimators
• Stochastic gradient descent
• Bias of an estimator
• Mathematical optimization
• Variational Bayesian methods
• Biasvariance tradeoff