Amanote Research
Register
Sign In
Likelihood Ratio Derivative Estimators for Stochastic Systems
doi 10.1109/wsc.1989.718702
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
P.W. Glynn
Publisher
IEEE
Related search
Generalized Empirical Likelihood Estimators
Likelihood Ratio Derivative Estimation for Finite-Time Performance Measures in Generalized Semi-Markov Processes
Management Science
Management Science
Management
Operations Research
Strategy
Nucleon Structure From Stochastic Estimators
Exploiting Structure of Maximum Likelihood Estimators for Extreme Value Threshold Selection
Technometrics
Modeling
Applied Mathematics
Statistics
Probability
Simulation
Maximum Likelihood Identification of Stochastic Weiner-Hammerstein-Type Non-Linear Systems
Mechanical Systems and Signal Processing
Control
Systems Engineering
Signal Processing
Mechanical Engineering
Civil
Structural Engineering
Computer Science Applications
Aerospace Engineering
Assessing Misspecified Asset Pricing Models With Empirical Likelihood Estimators
SSRN Electronic Journal
Maximum Likelihood Estimators for ARMA and ARFIMA Models: A Monte Carlo Study
Journal of Statistical Planning and Inference
Uncertainty
Applied Mathematics
Statistics
Probability
Efficient Log Likelihood Ratio Estimation for Polar Codes
The Marginalized Likelihood Ratio Test for Detecting Abrupt Changes
IEEE Transactions on Automatic Control
Control
Systems Engineering
Computer Science Applications
Electrical
Electronic Engineering