<--- Back to Details
First PageDocument Content
Bayesian statistics / Statistical inference / Model selection / Likelihood function / Bootstrapping / Prior probability / Bayesian information criterion / Maximum a posteriori estimation / Statistical power / Statistics / Estimation theory / Bayesian inference
Date: 2015-02-23 11:10:34
Bayesian statistics
Statistical inference
Model selection
Likelihood function
Bootstrapping
Prior probability
Bayesian information criterion
Maximum a posteriori estimation
Statistical power
Statistics
Estimation theory
Bayesian inference

1792 • The Journal of Neuroscience, January 28, 2015 • 35(4):1792–1805 Behavioral/Cognitive Neural Mechanisms for Integrating Prior Knowledge and Likelihood in Value-Based Probabilistic Inference

Add to Reading List

Source URL: psych.nyu.edu

Download Document from Source Website

File Size: 566,26 KB

Share Document on Facebook

Similar Documents

Algorithms for Optimal Power Allocation of Wireless Multi-Hop Heterogeneous Networks under Statistical Delay Constraints Neda Petreska (joint work with J. Gross and H. Al-Zubaidy) Fraunhofer Institute for Embedded System

Algorithms for Optimal Power Allocation of Wireless Multi-Hop Heterogeneous Networks under Statistical Delay Constraints Neda Petreska (joint work with J. Gross and H. Al-Zubaidy) Fraunhofer Institute for Embedded System

DocID: 1uAOI - View Document

Appendix 5 Computing the Power of Statistical Tests There are two types of errors that one can make when performing a statistical test. A false positive (a Type I error) occurs when the null hypothesis is rejected when

Appendix 5 Computing the Power of Statistical Tests There are two types of errors that one can make when performing a statistical test. A false positive (a Type I error) occurs when the null hypothesis is rejected when

DocID: 1u93f - View Document

IMSL Numerical Libraries The mathematical and statistical power you need when results matter IMSL C Numerical Library The IMSL C Numerical Library takes full advantage of the intrinsic

IMSL Numerical Libraries The mathematical and statistical power you need when results matter IMSL C Numerical Library The IMSL C Numerical Library takes full advantage of the intrinsic

DocID: 1tCbJ - View Document

1  Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions1 Mike Thelwall Statistical Cybermetrics Research Group, University of Wolverhampton, Wulfruna

1 Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions1 Mike Thelwall Statistical Cybermetrics Research Group, University of Wolverhampton, Wulfruna

DocID: 1rEAh - View Document

Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa

Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa

DocID: 1ru6X - View Document