<--- Back to Details
First PageDocument Content
Decision theory / Control theory / Mathematical optimization / Dynamic programming / Bellman equation / Thomas J. Sargent / Loss function / Prior probability / Hyperparameter / Statistics / Bayesian statistics / Economics
Date: 2015-04-08 13:04:05
Decision theory
Control theory
Mathematical optimization
Dynamic programming
Bellman equation
Thomas J. Sargent
Loss function
Prior probability
Hyperparameter
Statistics
Bayesian statistics
Economics

Robustness and U.S. Monetary Policy Experimentation∗ Timothy Cogley† Riccardo Colacito‡ Lars Peter Hansen§ Thomas J. Sargent¶

Add to Reading List

Source URL: www.tomsargent.com

Download Document from Source Website

File Size: 1,36 MB

Share Document on Facebook

Similar Documents

An RNAi System in Physcomitrellapatens with an Internal Marker for Silencing Allows for Rapid Identification of Loss of Function Phenotypes Magdalena Bezanilla, Pierre-François Perroud, Aihong Pan, Paul Klueh, and Ralph

An RNAi System in Physcomitrellapatens with an Internal Marker for Silencing Allows for Rapid Identification of Loss of Function Phenotypes Magdalena Bezanilla, Pierre-François Perroud, Aihong Pan, Paul Klueh, and Ralph

DocID: 1v2lS - View Document

Chromosoma DOIs00412RESEARCH ARTICLE  FancJ (Brip1) loss-of-function allele results in spermatogonial

Chromosoma DOIs00412RESEARCH ARTICLE FancJ (Brip1) loss-of-function allele results in spermatogonial

DocID: 1u1Ca - View Document

Soft-DTW: a Differentiable Loss Function for Time-Series

Soft-DTW: a Differentiable Loss Function for Time-Series

DocID: 1tYu3 - View Document

Journal of Machine Learning Research (EWRL SeriesSubmitted 9/16; PublishedValue-Aware Loss Function for Model Learning in Reinforcement Learning

Journal of Machine Learning Research (EWRL SeriesSubmitted 9/16; PublishedValue-Aware Loss Function for Model Learning in Reinforcement Learning

DocID: 1tjm9 - View Document

Neural networks Training neural networks - loss function P MACHINE LEARNING

Neural networks Training neural networks - loss function P MACHINE LEARNING

DocID: 1tefy - View Document