<--- Back to Details
First PageDocument Content
Systems engineering / Quality / Quality control / Optimal design / Bayesian inference / Model selection / Linear regression / Monte Carlo method / Statistical power / Statistics / Statistical theory / Design of experiments
Date: 2012-06-11 09:51:19
Systems engineering
Quality
Quality control
Optimal design
Bayesian inference
Model selection
Linear regression
Monte Carlo method
Statistical power
Statistics
Statistical theory
Design of experiments

Add to Reading List

Source URL: www.stat.harvard.edu

Download Document from Source Website

File Size: 310,71 KB

Share Document on Facebook

Similar Documents

Abstraction Selection in Model-Based Reinforcement Learning Nan Jiang Alex Kulesza Satinder Singh Computer Science & Engineering, University of Michigan

DocID: 1vnBa - View Document

Overview  Introduction  Parameter Estimation  Model Selection  Structure Discovery

DocID: 1v46f - View Document

Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1

DocID: 1uLfC - View Document

A Philosophical Analysis of Bayesian Model Selection for Inequality Constrained Models Jan-Willem Romeijn1 and Rens van de Schoot2 1 2

DocID: 1uKWH - View Document

Conditional Density Estimation by Penalized Likelihood Model Selection and Applications S. X. Cohen (IPANEMA / Synchrotron Soleil) and E. Le Pennec (SELECT / Inria Saclay - Île de France and Université Paris Sud) July

DocID: 1uGIO - View Document