Towards a Robust Top-Down Model for Valuation of Mining Assets Blanchet, J., Dolan, C., Iyengar, G., and Lall, U. Abstract Our goal is to create a simple, yet robust, statistical model which can be used to

Source URL: water.columbia.edu

• Statistics
• Estimation theory
• Operations research
• Applied mathematics
• Regression analysis
• Knowledge representation
• Mathematical model
• Linear regression
• Economic model
• Bayesian network
• Mathematical optimization
• Normal distribution

C.A.S.E. Newsletter Nr. 3 – September 2014 C.A.S.E. - Center for Applied Statistics and Economics Humboldt-Universität zu Berlin Wirtschaftswissenschaftliche Fakultät

Source URL: www.case.hu-berlin.de

CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/

Source URL: www.econ.ku.dk

• Estimation theory
• Statistics
• Statistical theory
• M-estimators
• Statistical inference
• Regression analysis
• Maximum likelihood estimation
• Estimator
• Extremum estimator
• Generalized method of moments
• Loss function
• Efficiency

Microsoft Word - MS-wccm12

Source URL: www.cs.utep.edu

• Statistics
• Academia
• Applied mathematics
• Measurement
• Monte Carlo method
• Numerical analysis
• Probabilistic complexity theory
• Uncertainty
• Structural analysis

The Complexity of the k-means Method∗ Tim Roughgarden1 and Joshua R. Wang2 1 Department of Computer Science, Stanford Univeresity, 474 Gates Building, 353 Serra Mall, Stanford, CA 94305, USA

Source URL: web.stanford.edu

• Statistics
• NAND gate
• FO
• Mathematics
• K-means clustering
• K-means++
• Gadget
• Cluster analysis
• Applied mathematics

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks arXiv:1312.6120v3 [cs.NE] 19 FebAndrew M. Saxe ()

Source URL: arxiv.org

• Artificial neural networks
• Statistics
• Machine learning
• Applied mathematics
• Deep learning
• Autoencoder
• Backpropagation
• Principal component analysis
• Matrix

Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. McCauley () Morten H. Christiansen () Department of Psychology, Cornell Univ

Source URL: cnl.psych.cornell.edu

• Linguistics
• Academia
• Cognitive science
• Computational linguistics
• Applied linguistics
• Language acquisition
• Psycholinguistics
• Cognitive architecture
• Chunking
• Sentence processing
• Artificial grammar learning
• Text corpus

Proposal for a tutorial at IJCNN’14 Prototype based methods: Mathematical foundations, interpretability, and data visualization Organizer

Source URL: www.conference123.org

• Artificial neural networks
• Neuroscience
• Applied mathematics
• Cybernetics
• Cognitive science
• Learning vector quantization
• Computational neuroscience
• Computational statistics
• Neural gas
• Vector quantization
• Machine learning
• Neurocomputing

4400 University Drive MS#4A5 Fairfax, VAUSA http://cs.gmu.eduDepartment of Computer Science

Source URL: cs.gmu.edu

• Data mining
• Statistics
• Computational statistics
• Cluster analysis
• Geostatistics
• K-means clustering
• Robotics
• NP
• Algorithm
• Applied mathematics

EXTENDED NEYMAN SMOOTH GOODNESS-OF-FIT TESTS, APPLIED TO COMPETING HEAVY-TAILED DISTRIBUTIONS J. Huston McCulloch and E. Richard Percy, Jr.* J. Econometrics Special Issue Submission: Sept. 14, 2010

Source URL: www.econ.ohio-state.edu

• Statistics
• Mathematical analysis
• Statistical theory
• Probability distributions
• Estimation theory
• Statistical inference
• Statistical tests
• Confidence interval
• Normal distribution
• Distribution
• Likelihood-ratio test
• Maximum likelihood estimation