<--- Back to Details
First PageDocument Content
Estimation theory / Statistical inference / Bayesian inference / Bayesian probability / Prior probability / Nuisance parameter / Maximum likelihood / Markov chain / Probability / Statistics / Bayesian statistics / Statistical theory
Date: 2010-12-21 17:21:39
Estimation theory
Statistical inference
Bayesian inference
Bayesian probability
Prior probability
Nuisance parameter
Maximum likelihood
Markov chain
Probability
Statistics
Bayesian statistics
Statistical theory

Exponential Parameter Estimation (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3

Add to Reading List

Source URL: bayes.wustl.edu

Download Document from Source Website

File Size: 134,45 KB

Share Document on Facebook

Similar Documents

Designing Robust Software Systems through Parametric Markov Chain Synthesis ˇ ska† , Simos Gerasimou∗ , Marta Kwiatkowska‡ and Nicola Paoletti§ Radu Calinescu∗ , Milan Ceˇ ∗ Department of Computer Science, U

Designing Robust Software Systems through Parametric Markov Chain Synthesis ˇ ska† , Simos Gerasimou∗ , Marta Kwiatkowska‡ and Nicola Paoletti§ Radu Calinescu∗ , Milan Ceˇ ∗ Department of Computer Science, U

DocID: 1xTt6 - View Document

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

DocID: 1vbSk - View Document

Mean field and fluid approaches to Markov chain analysis Jeremy T. Bradley ∗  Department of Computing, Imperial College London, UK  Representing the explicit state space of performance models has inheren

Mean field and fluid approaches to Markov chain analysis Jeremy T. Bradley ∗ Department of Computing, Imperial College London, UK Representing the explicit state space of performance models has inheren

DocID: 1v7u1 - View Document

ODE approximations to some Markov chain models Perla Sousi  January 13, 2009

ODE approximations to some Markov chain models Perla Sousi January 13, 2009

DocID: 1uW7y - View Document

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

DocID: 1uvqp - View Document