<--- Back to Details
| First Page | Document Content | |
|---|---|---|
 Date: 2008-10-22 09:22:51Monte Carlo methods Probability theory Statistical theory M-estimator Estimator Importance sampling Rejection sampling Variance Bias of an estimator Statistics Estimation theory Statistical inference |
Add to Reading List |
c:/tmp/suggest_vldb2008.dvi | Chapter 6 Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {xDocID: 1rnil - View Document |
| James–Stein type estimators of variancesDocID: 1rjIr - View Document |
| Policy Evaluation Using the Ω-Return Scott Niekum University of Texas at Austin Philip S. ThomasDocID: 1raVK - View Document |
| Bias in Natural Actor-Critic Algorithms Philip S. Thomas School of Computer Science, University of Massachusetts, Amherst, MAUSA AbstractDocID: 1qZ1K - View Document |
| An International Journal of the Polish Statistical AssociationDocID: 1qQCX - View Document |