Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit

Source URL: www.mackelab.org

• Statistics
• Statistical theory
• Estimation theory
• Actuarial science
• Expectationmaximization algorithm
• Missing data
• Maximum likelihood estimation
• Variational Bayesian methods
• Linear regression
• Normal distribution
• Covariance
• Regression analysis

Is the New Keynesian Phillips Curve Flat?∗ Keith Kuester Federal Reserve Bank of Philadelphia Gernot J. M¨uller Goethe University Frankfurt

Source URL: www.keithkuester.eu

• Economy
• Economics
• Macroeconomics
• New Keynesian economics
• Regression analysis
• Keynesian economics
• Unemployment
• Monetary economics
• Phillips curve
• Nominal rigidity
• Autocorrelation
• Generalized method of moments

Research in Business and Economics Journal Volume 11 The influence of some macroeconomic factors on the growth of micro firms in the United States

Source URL: www.aabri.com

• Economy
• Business
• Estimation theory
• Statistical tests
• Entrepreneurship
• Linear regression
• Business economics
• Regression analysis
• Economics
• DurbinWatson statistic
• Productivity
• Labour economics

In modern applications, we are interested in fitting regression models that are fast (i.e. can be fit to high-dimensional data), flexible (e.g. do not assume a linear conditional mean relationship between the response an

Source URL: mmds-data.org

How well can pre-clinical stroke researchers replicate effect sizes in their experiments? A metaanalysis of “accidental replications”. Principle investigators Research group Topic / keywords Date Version

Source URL: www.translationalethics.com

• Statistics
• Design of experiments
• Knowledge
• Science
• Experiments
• Scientific method
• Clinical research
• Causal inference
• Meta-analysis
• Scientific control
• Confounding
• Linear regression

Practical Guidelines for conducting research Summarising good research practice in line with the DCED Standard February 2013 By Mohammad Muaz Jalil for the Donor Committee for Enterprise Development

Source URL: www.enterprise-development.org

• Design of experiments
• Statistics
• Knowledge
• Experiments
• Causal inference
• Science
• Observational study
• Philosophy of science
• Randomized controlled trial
• Quasi-experiment
• Regression discontinuity design
• Validity

Microsoft Word - satpaper.forjoe.finalrevision.doc

Source URL: eml.berkeley.edu

• Statistics
• Regression analysis
• Estimation theory
• Parametric statistics
• Least squares
• Linear regression
• Ordinary least squares
• Incremental validity
• SAT
• University of California
• Variance
• T-statistic

EFFICIENT INITIALIZATION OF MIXTURES OF EXPERTS FOR HUMAN POSE ESTIMATION Huazhong Ning, Yuxiao Hu, Thomas Huang ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2,hu3, huang}@ifp.uiuc.edu ABS

Source URL: www.ifp.illinois.edu

• Statistics
• Applied mathematics
• Machine learning
• Learning
• Expectationmaximization algorithm
• Pattern recognition
• Regression analysis
• Mixture model
• Artificial neural network
• Perceptron

On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha†

Source URL: rri.wvu.edu

• Statistics
• Estimation theory
• Regression analysis
• Statistical theory
• Parametric statistics
• Signal processing
• Ordinary least squares
• Autocorrelation
• Estimator
• Generalized method of moments
• Robust statistics
• Linear regression

RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos

Source URL: www.rmm-journal.com

• Statistics
• Statistical theory
• Psychometrics
• Hypothesis testing
• Abduction
• Deductive reasoning
• Statistical inference
• Confidence interval
• Linear regression
• Statistical model
• Statistical hypothesis testing
• Frequentist probability